CN120602974A - Measurement method, measurement configuration method, device and equipment - Google Patents

Abstract

The application discloses a measurement method, a measurement configuration method, a device and equipment, which belong to the technical field of communication, wherein the measurement method comprises the steps that first equipment receives first information sent by second equipment, and the first information comprises at least one of measurement rule information and measurement threshold information; the first device performs a measurement based on the first information.

Description

Measurement method, measurement configuration method, device and equipment

Technical Field

The application belongs to the technical field of communication, and particularly relates to a measurement method, a measurement configuration device and measurement equipment.

Background

For measurement, in some related technologies, device measurement is often performed by using default measurement rule information or measurement threshold information, and the default measurement rule information or measurement threshold information is often not applicable to measurement currently required, which results in poor measurement performance.

Disclosure of Invention

The embodiment of the application provides a measurement method, a measurement configuration device and measurement equipment, which can solve the problem of relatively poor measurement performance.

In a first aspect, a measurement method is provided, comprising:

The first equipment receives first information sent by the second equipment, wherein the first information comprises at least one of measurement rule information and measurement threshold information;

the first device performs a measurement based on the first information.

In a second aspect, a measurement configuration method is provided, including:

the second device sends first information to the first device, wherein the first information comprises at least one of measurement rule information and measurement threshold information.

In a third aspect, there is provided a measurement device comprising:

the receiving module is used for receiving first information sent by the second equipment, wherein the first information comprises at least one of measurement rule information and measurement threshold information;

And the measurement module is used for measuring based on the first information.

In a fourth aspect, there is provided a measurement configuration apparatus comprising:

The first sending module is used for sending first information to the first equipment, wherein the first information comprises at least one of measurement rule information and measurement threshold information.

In a fifth aspect, a communications device is provided, the device comprising a processor and a memory storing a program or instructions executable on the processor, which when executed by the processor, implement the steps of a measurement method as provided by an embodiment of the application.

In a sixth aspect, a communication device is provided, including a processor and a communication interface, where the communication interface is configured to receive first information sent by a second device, where the first information includes at least one of measurement rule information and measurement threshold information, and perform measurement based on the first information.

In a seventh aspect, a communications device is provided, the device comprising a processor and a memory storing a program or instructions executable on the processor, which when executed by the processor, implement the steps of a measurement configuration method as provided by an embodiment of the application.

In an eighth aspect, a communication device is provided, including a processor and a communication interface, where the communication interface is configured to send first information to a first device, where the first information includes at least one of measurement rule information and measurement threshold information.

In a ninth aspect, there is provided a readable storage medium having stored thereon a program or instructions which, when executed by a processor, implement the steps of a measurement method as provided by an embodiment of the present application, or implement the steps of a measurement configuration method as provided by an embodiment of the present application.

In a tenth aspect, a wireless communication system is provided, including a first device and a second device, where the first device is configured to perform the steps of the measurement method provided by the embodiment of the present application, and the second device is configured to perform the steps of the measurement configuration method provided by the embodiment of the present application.

In an eleventh aspect, a chip is provided, where the chip includes a processor and a communication interface, where the communication interface is coupled to the processor, and the processor is configured to execute a program or instructions, implement a measurement method provided by an embodiment of the present application, or implement a measurement configuration method provided by an embodiment of the present application.

In a twelfth aspect, a computer program/program product is provided, stored in a storage medium, which is executed by at least one processor to implement the steps of the measurement method as provided by the embodiments of the present application, and which is executed by at least one processor to implement the steps of the measurement configuration method as provided by the embodiments of the present application.

In the embodiment of the application, first information sent by second equipment is received by first equipment, wherein the first information comprises at least one of measurement rule information and measurement threshold information, and the first equipment performs measurement based on the first information. Therefore, the measurement rule information or the measurement threshold information can be obtained dynamically, and the measurement rule information or the measurement threshold information obtained dynamically is more easily matched with the current measurement, so that the measurement is performed based on the measurement rule information or the measurement threshold information obtained dynamically, and the measurement performance can be improved.

Drawings

Fig. 1 is a block diagram of a wireless communication system to which embodiments of the present application are applicable;

FIG. 2 is a schematic diagram of a scene of a perception measurement provided by an embodiment of the present application;

FIG. 3 is a schematic view of another perception measurement scenario provided by an embodiment of the present application;

FIG. 4 is a flow chart of a measurement method provided by an embodiment of the present application;

FIG. 5 is a schematic view of a diameter provided by an embodiment of the present application;

FIG. 6 is a schematic view of another diameter provided by an embodiment of the present application;

FIG. 7 is a flow chart of a measurement configuration method provided by an embodiment of the present application;

FIG. 8 is a schematic diagram of a measurement and reporting process according to an embodiment of the present application;

FIG. 9 is a schematic diagram of a measurement scenario provided by an embodiment of the present application;

FIG. 10 is a schematic diagram of another measurement scenario provided by an embodiment of the present application;

FIG. 11 is a schematic illustration of a measurement result provided by an embodiment of the present application;

FIG. 12 is a schematic illustration of another measurement result provided by an embodiment of the present application;

FIG. 13 is a schematic illustration of another measurement result provided by an embodiment of the present application;

FIG. 14 is a block diagram of a measuring device according to an embodiment of the present application;

FIG. 15 is a block diagram of a measurement configuration apparatus according to an embodiment of the present application;

Fig. 16 is a block diagram of a communication device according to an embodiment of the present application;

fig. 17 is a block diagram of another communication device provided by an embodiment of the present application;

Fig. 18 is a block diagram of another communication device provided by an embodiment of the present application;

fig. 19 is a block diagram of another communication device according to an embodiment of the present application.

Detailed Description

The technical solutions of the embodiments of the present application will be clearly described below with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which are derived by a person skilled in the art based on the embodiments of the application, fall within the scope of protection of the application.

The terms "first," "second," and the like, herein, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the terms so used are interchangeable under appropriate circumstances such that the embodiments of the application are capable of operation in sequences other than those illustrated or otherwise described herein, and that the "first" and "second" distinguishing between objects generally are not limited in number to the extent that the first object may, for example, be one or more. Furthermore, the "or" in the present application means at least one of the connected objects. For example, "A or B" encompasses three schemes, namely scheme one including A and excluding B, scheme two including B and excluding A, scheme three including both A and B. The character "/" generally indicates that the context-dependent object is an "or" relationship.

The term "indication" according to the application may be either a direct indication (or an explicit indication) or an indirect indication (or an implicit indication). The direct indication may be understood that the sender explicitly informs the specific information of the receiver, the operation to be executed, the request result, and the like in the sent indication, and the indirect indication may be understood that the receiver determines the corresponding information according to the indication sent by the sender, or determines the operation to be executed, the request result, and the like according to the determination result.

It should be noted that the techniques described in the embodiments of the present application are not limited to long term evolution (Long Term Evolution, LTE)/LTE evolution (LTE-Advanced, LTE-a) systems, but may also be used in other wireless communication systems, such as code division multiple access (Code Division Multiple Access, CDMA), time division multiple access (Time Division Multiple Access, TDMA), frequency division multiple access (Frequency Division Multiple Access, FDMA), orthogonal frequency division multiple access (Orthogonal Frequency Division Multiple Access, OFDMA), single-carrier frequency division multiple access (Single-carrier Frequency-Division Multiple Access, SC-FDMA), or other systems. The terms "system" and "network" in embodiments of the application are often used interchangeably, and the techniques described may be used for both the above-mentioned systems and radio technologies, as well as other systems and radio technologies. The following description describes a New Radio (NR) system for exemplary purposes and NR terminology is used in much of the following description, but the techniques may also be applied to systems other than NR systems, such as the 6 th Generation (6G) communication system.

Fig. 1 shows a block diagram of a wireless communication system to which an embodiment of the present application is applicable. The wireless communication system includes a terminal 11 and a network device 12. The terminal 11 may be a Mobile phone, a tablet Computer (Tablet Personal Computer), a Laptop (Laptop Computer), a notebook, a Personal digital assistant (Personal DIGITAL ASSISTANT, PDA), a palm Computer, a netbook, an Ultra-Mobile Personal Computer (Ultra-Mobile Personal Computer, UMPC), a Mobile internet appliance (Mobile INTERNET DEVICE, MID), an augmented Reality (Augmented Reality, AR), a Virtual Reality (VR) device, a robot, a wearable device (Wearable Device), an aircraft (FLIGHT VEHICLE), a vehicle-mounted device (Vehicle User Equipment, VUE), a ship-mounted device, a pedestrian terminal (PEDESTRIAN USER EQUIPMENT, PUE), a smart home (home device with a wireless communication function, such as a refrigerator, a television, a washing machine, or furniture), a game machine, a Personal Computer (Personal Computer, PC), a teller machine, or a self-service machine, and other terminal-side devices. The wearable device comprises an intelligent watch, an intelligent bracelet, an intelligent earphone, intelligent glasses, intelligent jewelry (intelligent bracelets, intelligent rings, intelligent necklaces, intelligent anklets, intelligent footchains and the like), an intelligent wristband, intelligent clothing and the like. The in-vehicle apparatus may also be referred to as an in-vehicle terminal, an in-vehicle controller, an in-vehicle module, an in-vehicle component, an in-vehicle chip, an in-vehicle unit, or the like. It should be noted that the specific type of the terminal 11 is not limited in the embodiment of the present application.

The network-side device 12 may include an access network device or core network device, where the access network device may also be referred to as a radio access network (Radio Access Network, RAN) device, a radio access network function, or a radio access network element. The Access network device may include a base station, a wireless local area network (Wireless Local Area Network, WLAN) Access Point (AP), or a wireless fidelity (WIRELESS FIDELITY, WIFI) node, etc. The base station may be referred to as a Node B (NB, NB), an Evolved Node B (eNB), a next generation Node B (the next generation Node B, gNB), a New air Node B (New Radio Node B, NR Node B), an access point, a relay station (Relay Base Station, RBS), a serving base station (Serving Base Station, SBS), a base transceiver station (Base Transceiver Station, BTS), a Radio base station, a Radio transceiver, a Basic service set (Basic SERVICE SET, BSS), an Extended service set (Extended SERVICE SET, ESS), a Home Node B (HNB), a home Evolved Node B (home Evolved Node B), a transmission and reception point (Transmission Reception Point, TRP), or some other suitable term in the art, so long as the same technical effect is achieved, the base station is not limited to a specific technical vocabulary, and in the embodiment of the present application, the base station in the NR system is only described by way of example, and the specific type of the base station is not limited.

The core Network device may include, but is not limited to, at least one of a core Network node, a core Network Function, a Mobility management entity (Mobility MANAGEMENT ENTITY, MME), an access Mobility management Function (ACCESS AND Mobility Management Function, AMF), a session management Function (Session Management Function, SMF), a user plane Function (User Plane Function, UPF), a Policy control Function (Policy Control Function, PCF), a Policy AND CHARGING Rules Function (PCRF), an edge application service discovery Function (Edge Application Server Discovery Function, EASDF), a Unified data management (Unified DATA MANAGEMENT, UDM), a Unified data repository (Unified Data Repository, UDR), a home subscriber server (Home Subscriber Server, HSS), a centralized Network configuration (Centralized Network configuration, CNC), a Network storage Function (Network Repository Function, NRF), a Network opening Function (Network Exposure Function, NEF), a Local NEF (or L-NEF), a binding support Function (Binding Support Function, BSF), an application Function (Application Function, AF), a location management Function (Location Management Function, LMF), a gateway's mobile location center (Gateway Mobile Location Centre, GMLC), a Network data analysis Function (NWDAF), and the like. It should be noted that, in the embodiment of the present application, only the core network device in the NR system is described as an example, and the specific type of the core network device is not limited.

In some embodiments, the network-side device and the terminal may have a sensing capability, that is, one or more devices having a sensing capability, in addition to a communication capability, can sense information such as a position, a distance, a speed, etc. of the target object through transmission and reception of wireless signals, or detect, track, identify, image, etc. the target object, an event, an environment, etc. Some perception functions and application scenarios are shown in table 1:

TABLE 1

It should be noted that the above-mentioned sensing categories shown in table 1 are only illustrative, and the sensing categories are not limited in the embodiment of the present application.

In addition, the embodiment of the application can be applied to a communication perception integrated scene, wherein communication perception integration means that communication and perception function integration design is realized through spectrum sharing and hardware sharing in the same system, the system can perceive information such as azimuth, distance, speed and the like while information is transmitted, target equipment or events are detected, tracked and identified, the communication system and the perception system complement each other, and the improvement of overall performance is realized and better service experience is brought.

For example, communication and radar integration belongs to a typical communication perception integration (communication perception fusion) application, and communication and radar system fusion can bring about a plurality of advantages, such as cost saving, size reduction, power consumption reduction, spectrum efficiency improvement, mutual interference reduction and the like, so that the overall performance of the system is improved.

In the embodiment of the present application, according to the difference between the sensing signal transmitting node and the receiving node, the sensing signal transmitting node may include, but is not limited to, 6 sensing links shown in fig. 2. It should be noted that, in fig. 2, each sensing link is illustrated by using one transmitting node and one receiving node, in an actual system, different sensing links may be selected according to different sensing requirements, one or more transmitting nodes and one or more receiving nodes of each sensing link may be provided, and the actual sensing system may include a plurality of different sensing links. And the perception target in fig. 2 takes a person and a car as examples, and the perception target of an actual scene is richer assuming that neither the person nor the car carries or installs the signal receiving/transmitting device.

Perception link 1, base station self-receiving perception. In the mode, the base station transmits a sensing signal and obtains a sensing result by receiving an echo of the sensing signal;

And a perception link 2, namely the air interface perception between the base stations. In this manner, the base station 2 receives the sensing signal transmitted by the base station 1, and obtains a sensing result.

And a perception link 3, namely uplink air interface perception. In the mode, the base station receives the sensing signal sent by the terminal, and a sensing result is obtained.

And a perception link 4, namely downlink air interface perception. In the mode, the terminal receives the sensing signal sent by the base station, and a sensing result is obtained.

And a perception link 5, namely the terminal spontaneously self-receives perception. In the mode, the terminal sends a sensing signal and obtains a sensing result by receiving an echo of the sensing signal.

Perception link 6. Inter-terminal side link (Sidelink) perception. For example, the terminal 2 receives the sensing signal transmitted by the terminal 1 to obtain a sensing result, or the terminal 1 receives the sensing signal transmitted by the terminal 2 to obtain a sensing result.

In some embodiments, signaling between the radio Access network device and the terminal, different terminals may be through radio resource control (Radio Resource Control, RRC) signaling or media Access control (Medium Access Control Control Element, MAC CE) signaling or layer 1 signaling or other newly defined awareness signaling, signaling between the awareness network function and the terminal may be through Non-Access-Stratum (NAS) signaling (forwarding via AMF) or through RRC signaling or MAC CE or layer 1 signaling or other newly defined awareness signaling, interaction between the awareness network function and the base station may be through an N2 interface forwarding to the radio Access network using AMF, or core network awareness network function may be sent to the UPF, which is sent to the radio Access network through an N3 interface, or to the radio Access network (e.g., base station) through a newly defined interface, and signaling between the radio Access network devices may be through an Xn interface.

In some embodiments, the network-aware Function may also be called a network-aware element or a network-aware management Function (SENSING MANAGEMENT Function, SENSING MF), which may be located at the RAN side or the core network side, and refers to a network node in the core network or the RAN that is responsible for at least one Function such as processing a sensing request, scheduling a sensing resource, sensing information interaction, and sensing data processing, and may be based on AMF or LMF upgrade in the mobile communication network, or may be another network node or a newly defined network node, and specifically, the functional characteristics of the network-aware Function/network-aware element may include at least one of the following:

And performing target information interaction with the wireless signal transmitting device or the wireless signal measuring device (including a target terminal or a serving base station of the target terminal or a base station associated with a target area), wherein the target information comprises a sensing processing request, sensing capability, sensing auxiliary data, sensing measurement quantity type, sensing resource configuration information and the like, so as to obtain a target sensing result or a value of a sensing measurement quantity (uplink measurement quantity or downlink measurement quantity) transmitted by the wireless signal measuring device, and the wireless signal can be also called a sensing signal.

The sensing method used is determined according to the type of the sensing service, the information of the consumer of the sensing service, the required information of the sensing service quality (Quality of Service, qoS) requirement, the sensing capability of the wireless signal transmitting equipment, the sensing capability of the wireless signal measuring equipment and the like, and the sensing method can comprise the steps that the wireless access network equipment A transmits the wireless access network equipment B to be received, or the wireless access network equipment transmits the terminal to be received, or the wireless access network equipment A transmits the terminal to be received automatically, or the terminal A transmits the terminal B to be received, and the like.

And determining a sensing device serving the sensing service according to the type of the sensing service, the information of a sensing service consumer, the required sensing QoS requirement information, the sensing capability of the wireless signal transmitting device, the sensing capability of the wireless signal measuring device and the like, wherein the sensing device comprises the wireless signal transmitting device or the wireless signal measuring device.

Managing the overall coordination and scheduling of resources required by the awareness service, such as corresponding configuration of the awareness resources of the wireless access network equipment or the terminal;

and carrying out data processing on the value of the perception measurement quantity or calculating to obtain a perception result. The sensing result can also be verified, the sensing accuracy can be estimated, and the like.

In some embodiments, the radar may be classified as a single-base radar and a dual/multi-base radar depending on whether the transmitter and receiver are separated, with dual-base radars generally requiring transmit and receive antennas that are far apart, comparable to the range of radar. The external radiation source radar is a special case of a bistatic radar, and utilizes related electromagnetic wave detection theory technology and signal processing technology to acquire non-cooperative electromagnetic signals emitted by a third party (such as a communication base station) so as to realize detection, positioning, tracking and identification of a target, which is also called passive radar, bistatic/multistatic passive radar, non-cooperative irradiation source radar or non-cooperative passive detection system.

The bistatic radar sensing result calculation generally needs to be based on a reference channel (direct path) signal and a monitoring channel (reflected path) signal, and a typical bistatic radar architecture is shown in fig. 3. Wherein, R_T is the distance from the signal transmitting end (Tx) to the target, R_R is the distance from the signal receiving end (Tx) to the target, L is the baseline distance, θ_T is the angle of the target relative to the signal transmitting end, θ_R(θ_R1、θ_R2) is the angle of the target relative to the signal receiving end, and β is the bistatic angle.

In some embodiments, for range, doppler or velocity measurements common in perceived measurement, measurement ambiguity problems may occur when the signal resource configuration is not satisfactory, e.g., for monostatic radar perception, the relationship of maximum unobscured range, doppler or velocity to signal resource configuration is:

If the speed direction is considered, the time domain resource interval is not more than 1/(2|f_dmax |) or not more than c/(4 f_c|v_max |), and if the speed direction is not considered, the time domain resource interval is not more than 1/f_dmax or not more than c/(2 f_cv_max), wherein f_dmax is the maximum non-fuzzy Doppler, v_max is the maximum non-fuzzy speed, f_c is the carrier frequency, and c is the light speed.

The frequency domain resource interval satisfies Δf less than or equal to 1/τ_max or Δf less than or equal to c/(2R_max), wherein τ_max is the maximum non-blurring time delay, and R_max is the maximum non-blurring distance.

That is, ranging ambiguity occurs when the frequency domain resource interval of the signal exceeds a certain value, and velocity/Doppler ambiguity is transmitted when the time domain resource interval exceeds a certain value.

The following describes in detail a measurement method, a measurement configuration device and a measurement device provided by the embodiments of the present application through some embodiments and application scenarios thereof with reference to the accompanying drawings.

Referring to fig. 4, fig. 4 is a flowchart of a measurement method according to an embodiment of the application, as shown in fig. 4, including the following steps:

step 401, the first device receives first information sent by the second device, where the first information includes at least one of measurement rule information and measurement threshold information.

The first device may be a terminal or a network side device.

The second device may be a terminal, a network side device, or a core network device.

The measurement rule information is used for indicating the rule of measurement, such as a measurement algorithm, a measurement path, a measurement window or measurement result related information, and the like.

The measurement threshold information is used to indicate threshold information that needs to be used in the measurement process.

In some embodiments, the first information may be first information determined by the second device based on information such as measurement requirements or capabilities of the first device.

Step 402, the first device performs measurement based on the first information.

The measurement by the first device based on the first information may be that the first device measures a signal transmitted by the second device based on the first information, or may be that the first device measures a signal transmitted by the first device based on the first information.

The measurement may be a sensing measurement or a communication measurement.

The sensing measurement can be applied to dual-base sensing, for example, a first device receives first information sent by a second device, the first device receives sensing signals sent by the second device or other devices and performs measurement to obtain a measurement result, and the measurement result can be reported to the second device or other devices. In this scenario, the first device and the second device may be terminals or base stations (or TRPs), for example, the first device is a base station, the second device is a terminal, or the first device is a terminal, the second device is a base station, or the first device and the second device are both base stations, or the first device and the second device are both terminals, or the first device is a terminal or a base station, and the second device is a core network sensing network function or a sensing network element.

Or the sensing measurement can be applied to single-base sensing, for example, the first device receives the first information sent by the second device, the first device sends a sensing signal and receives a echo signal for measurement, a measurement result is obtained, and the first device reports the measurement result packet to the second device. In this scenario, the first device may be a terminal or a base station (or TRP), and the second device may be a core network aware network function or an aware network element, or may be a base station or a terminal.

In the embodiment of the application, the first equipment can dynamically acquire the measurement rule information or the measurement threshold information through the steps, and the dynamically acquired measurement rule information or the measurement threshold information is easier to match with the current measurement, so that the measurement is performed based on the dynamically acquired measurement rule information or the measurement threshold information, and the measurement performance can be improved.

As an alternative embodiment, the measurement rule information includes at least one of the following:

The method comprises the steps of detecting indication information of the strongest path, detecting indication information of paths exceeding a threshold, detecting the number of paths, detecting window information, measuring result granularity information, measuring result clustering information and measuring result dimension reduction information.

The indication information of the strongest path is information including the strongest path in the measurement process, for example, the path with the largest power or amplitude may be used as a sensing target path for sensing measurement, and measurement result estimation is performed based on the sensing target path, for example, at least one of delay, doppler and angle information associated with the sensing target path is estimated, and distance, velocity or position coordinates and the like may be calculated based on at least one of the estimated delay, doppler and angle information.

The reliability of measurement can be made higher by the indication information indicating the detection strongest path.

Optionally, the measurement rule information includes indication information of the strongest path, which may be understood that the measurement rule includes that the first device performs measurement according to the strongest path.

The above indication information of the path exceeding the threshold is that the measurement process includes performing measurement result estimation based on the path exceeding the threshold, for example, for the sensing measurement, the path with the power or the amplitude exceeding the threshold may be used as the sensing target path, and the measurement result estimation may be performed based on the sensing target path. The threshold may be a threshold indicated by the threshold information, or may be a preconfigured threshold.

The reliability of the measurement can be made higher by the indication information indicating the above-mentioned path of detection exceeding the threshold.

Alternatively, the measurement rule information includes indication information of a path detected to exceed the threshold, and it is understood that the measurement rule includes that the first device performs measurement according to the path detected to exceed the threshold.

The number of the detected paths refers to the maximum number of the detected paths in the measurement process, so that the overhead in reporting is limited, for example, the maximum number of the detected paths is M, the number of the paths exceeding a threshold is N (N > M), and the paths of M before power/amplitude are taken as detection results for the N paths.

The cost of node measurement and reporting can be increased by indicating the number of the detection paths so as to improve the measurement performance.

Alternatively, the measurement rule information includes the number of detection diameters, which may be understood that the measurement rule includes that the first device performs measurement according to the number of detection diameters.

The detection window information refers to a detection window in the measurement process, and the window can be a Doppler detection window, a time delay detection window, a speed detection window, an angle detection window and the like. For example, for sensing measurement, a path with the largest detection power or amplitude within the detection window range or exceeding a preset threshold is taken as a sensing target path, and measurement result estimation is performed based on the sensing target path, that is, filtering is performed according to the detection window range, so that interference can be reduced, and detection accuracy can be improved. If the indicated Doppler detection range is [0.1Hz,1Hz ] for respiratory detection, the first device detects respiratory frequency after filtering Doppler dimension results according to the range, so that interference caused by movement of other targets in the environment can be avoided.

The accuracy of measurement can be improved by indicating the detection window information.

Alternatively, the measurement rule information includes detection window information, which may be understood that the measurement rule includes that the first device performs measurement according to the detection window information.

The measurement result granularity information may be a minimum granularity indication of application or report of the measurement result, and specifically may be a minimum scale value of the measurement result in a certain dimension. The minimum scale value at the time of target detection can be reduced by increasing signal resources (e.g., increasing bandwidth to increase delay resolution, increasing coherent processing time to increase doppler resolution, etc., or increasing computational resolution by means of zero padding prior to discrete fourier transform (Fast Fourier Transform, FFT) operations, etc.). In addition, the granularity information of the measurement result ensures that the first equipment ensures that the meanings of the reported numerical values are consistent when reporting the measurement result, for example, the meanings of the index are consistent when reporting the FFT index value corresponding to the Doppler frequency domain.

The measurement accuracy can be improved by indicating the granularity information of the measurement result, and the accuracy of measurement and reporting can be improved.

Optionally, the measurement rule information includes measurement result granularity information, which may be understood that the measurement rule includes that the first device reports measurement results according to the measurement result granularity information.

The measurement clustering information may be used to indicate at least one of:

Whether the measurement results are clustered, the clustering type, the clustering method and the clustering parameters.

The clustering of the measurement results may be that the measurement results with the same or similar measurement results are clustered, so as to reduce the complexity of reporting the measurement.

The cluster types can be cluster method types, including but not limited to prototype clusters, hierarchical clusters, density clusters and the like.

The clustering method comprises at least one of the following steps:

Density-based spatial clustering (Density-Based Spatial Clustering of Applications with Noise, DBSCAN) with noise application, for which the above-mentioned clustering parameters may include at least one of a neighborhood radius (Eps), a sample number threshold (MinPts);

K-Means (K-Means) clustering, for which the above-mentioned clustering parameters may include at least one of a number of classifications, a number of clusters, a cluster center threshold, a maximum number of iterations;

Gaussian Mixture clustering (mixing-of-Gaussian) method, for the clustering, the above clustering parameters can include at least one of cluster number and iteration number;

A density-based clustering (Ordering Points to IDENTIFY THE Clustering Structure, OPTICS) algorithm, for which the above-mentioned clustering parameters may include at least one of a neighborhood radius (Eps), a sample number threshold (MinPts);

The Canopy clustering method, for which the above-mentioned clustering parameters may include at least one of a multi-distance threshold T1 and T2 from a center point, where T1 and T2 are two different distance thresholds.

The measurement result clustering information can enable the measurement result to be simpler and more reliable.

Optionally, the measurement rule information includes measurement result clustering information, which is understood as that the measurement rule includes that the first device performs measurement clustering or measurement result clustering according to the measurement result clustering information.

The measurement result dimension reduction information may be used to indicate at least one of:

whether to perform dimension reduction, a dimension reduction method and dimension reduction parameters;

the dimension reduction means dimension reduction of the measurement result so as to reduce the data volume of the measurement result and reduce the reporting cost of the measurement result.

The dimension reduction method may include at least one of:

the main component analysis (PRINCIPAL COMPONENT ANALYSIS, PCA) may include a dimension number after dimension reduction, and an instruction parameter indicating whether or not to perform whitening processing;

linear discriminant analysis (LINEAR DISCRIMINANT ANALYSIS, LDA), said dimension reduction parameters may include projection direction;

equidistant mapping (lsomap), the dimension reduction parameters may include the number of neighbors and distance measurement.

The data volume of the measurement result can be reduced by the dimension reduction information of the measurement result.

Optionally, the measurement rule information includes measurement result dimension reduction information, which may be understood that the measurement rule includes that the first device reduces the dimension of the measurement result according to the measurement result dimension reduction information.

As an alternative embodiment, the measurement rule information includes measurement rule information of at least one dimension including at least one of:

Time delay dimension, distance dimension, doppler dimension, velocity dimension, angle dimension, and combination dimension;

The combined dimension comprises at least two dimensions of a time delay dimension, a distance dimension, a Doppler dimension, a speed dimension and an angle dimension.

The dimensions of the at least two combinations may be the delay-doppler dimensions, or the dimensions of a combination of delay-doppler-angle dimensions, etc.

The measurement rule information of the at least one dimension may include at least one of:

the method comprises the steps of detecting indication information of the strongest path in at least one dimension, detecting indication information of paths exceeding a threshold in at least one dimension, detecting the number of paths in at least one dimension, detecting window information of at least one dimension and measuring result granularity information of at least one dimension.

By including measurement rule information of at least one dimension, measurement rule indication with granularity of dimension can be realized, so that measurement accuracy is improved.

As an alternative embodiment, the measurement threshold information includes at least one of:

threshold value information, associated parameter information of threshold calculation, at least one threshold level information.

The threshold value information is used for indicating a threshold used by the first device in the measurement process, for example, a threshold of a judgment path, or a threshold of a detection target, etc.

The threshold information may be associated with the perceived need, or the threshold information may be determined or adjusted based on a historical measurement result (e.g., at least one of performance indexes associated with the perceived need), for example, the threshold information may be determined by the second device according to prior information or perceived need information, for example, according to measured noise power information or signal-to-interference plus noise ratio (Signal to Interference plus Noise Ratio, SINR) information, and a false alarm probability need, so that the threshold value is more matched with the measurement need, and the measurement result is more reliable.

The threshold information may be threshold information indicating at least one dimension, and the thresholds of different dimensions may be the same or different, and in addition, the threshold information may be a plurality of thresholds, and the first device may respectively detect, e.g. respectively perform target detection, based on the plurality of thresholds.

The threshold value information can enable the threshold adopted by the first equipment in the measuring process to be more matched with the current measurement, so that the measuring performance is improved.

The above-mentioned threshold-calculated associated parameter information is parameter information for calculating a threshold, so that the first device calculates a threshold value based on these parameter information.

The threshold calculation associated parameter information may include at least one of:

False alarm probability P_fa;

A threshold factor α;

Constant False Alarm Rate (CFAR) detection type, wherein the CFAR detection type may include at least one of unit average constant false alarm rate (CELL AVERAGING-constant FALSE ALARM RATE, CA-CFAR), maximum selected constant false alarm rate (greatest option-constant FALSE ALARM RATE, GO-CFAR), minimum selected constant false alarm rate (small option-constant FALSE ALARM RATE, SO-CFAR), ordered statistics constant false alarm rate (ordered statistics-constant FALSE ALARM RATE, OS-CFAR);

the CFAR detection protection unit length may be indicated for different dimensions, e.g. the protection unit length for doppler dimension and the protection unit length for time dimension, respectively;

CFAR detection reference cell length;

CFAR detection protection cell pattern;

CFAR detects the reference cell pattern.

The threshold-calculated associated parameter information may be associated with perceived need or the threshold-calculated associated parameter information may be determined or adjusted based on historical measurements (e.g., at least one of the perceived associated performance metrics).

The correlation parameter information calculated by the threshold can enable the first device to determine the threshold adopted in the measurement process, so that the threshold is more matched with the current measurement, and the measurement performance is improved.

The at least one threshold level information may be at least one threshold, each threshold corresponding to a threshold level, the threshold levels may be different level thresholds defined by a protocol, and the different level thresholds may be different threshold values, or corresponding threshold calculation parameters may be different, for example, different threshold factors. Through the at least one threshold level information, the first device can obtain at least one threshold used in target detection, and under the condition of a plurality of threshold levels, measurement results under different threshold levels can be obtained.

For example, in the case that the measurement threshold information includes a plurality of threshold level information, the first device acquires a plurality of measurement results corresponding to the plurality of threshold level information. Wherein the plurality of threshold level information may indicate a plurality of different levels of detection threshold or a plurality of threshold levels.

Taking three threshold levels as an example, as shown in fig. 5, green, yellow and red correspond to the three threshold levels respectively in fig. 5, so that the first device performs measurement based on the thresholds of different levels, for the sensing measurement, when the first device reports the sensing measurement result, it may report the measurement result of the target meeting the requirements of the thresholds of different levels, for example, report the measurement result corresponding to each target and the situation that the measurement result meets the thresholds of different levels, such as the highest threshold level information that the power or the intensity of each target associated path meets, and the delay time or the doppler or the angle information of each target associated path. For example, the second device indicates a plurality of different levels of detection thresholds or indicates a plurality of threshold levels of the first device, and the first device performs target detection based on the different levels of detection thresholds or the different levels of thresholds. The first device reports the measurement results of the targets meeting the requirements of the detection thresholds of different levels or the thresholds of different levels when reporting the sensing measurement results, specifically may report the measurement results corresponding to each target and the conditions of the measurement results meeting the detection thresholds of different levels or the thresholds of different levels, for example, the highest threshold level information that the power or the strength of each target associated path meets, and the delay, doppler or angle information of each target associated path.

The first device can measure based on the plurality of threshold level information by the at least one threshold level information, and obtain measurement results of the plurality of threshold levels, so as to improve measurement performance.

As an optional implementation manner, the first information further includes at least one of the following:

Signal configuration information, measured resource indication information, measurement quantity information and reporting configuration information.

The signal configuration information is configuration information of a signal used for the measurement, for example, for a sensing measurement, the signal configuration information is configuration information of a signal used for the sensing measurement, and the configuration information may indicate a type of the signal, a resource of the signal, and the like.

Wherein the signal may include at least one of:

A dedicated sense signal, such as a sense signal generated based on a Chirp (Chirp) or frequency modulated continuous wave (Frequency Modulated Continuous Wave, FMCW) signal, or a sense signal generated based on a Pseudo-Random (PN) sequence, ZC sequence, or other constant envelope zero autocorrelation (CAZAC) sequence, or the like;

Reference signals such as Demodulation reference signals (Demodulation REFERENCE SIGNAL, DMRS), channel state Information reference signals (CHANNEL STATE Information, REFERENCE SIGNAL, CSI-RS), sounding reference signals (Sounding REFERENCE SIGNAL, SRS), or Positioning reference signals (Positioning REFERENCE SIGNAL, PRS), etc.;

A synchronization signal, such as a primary synchronization signal (Primary Synchronization Signal, PSS) or a secondary synchronization signal (Secondary Synchronization Signal, SSS);

signals carrying communication data, such as Physical downlink shared channel (Physical downlink SHARED CHANNEL, PDSCH), physical Uplink shared channel (Physical Uplink SHARED CHANNEL, PUSCH), physical downlink control channel (Physical Downlink Control Channel, PDCCH) or Physical Uplink control channel (Physical Uplink Control Channel, PUCCH) signals, and the like.

The signal may be a single-port signal or a multi-port signal.

The signal configuration information may refer to resource configuration information of a plurality of signals, i.e. a plurality of signal resources are configured for measurement.

The signal configuration information may also include at least one of:

Signal resource identification, signal use, waveform, subcarrier spacing, guard interval, frequency domain starting position, frequency domain resource length, frequency domain resource spacing, time domain starting position, time domain resource length, time domain resource spacing, time domain burst information, time domain resource characteristics, signal power, sequence information, signal direction, quasi Co-Location (QCL) relation, and cyclic prefix information.

The signal resource identifier is used for distinguishing different signal resource configurations;

The above signal usage indicates that the target signal is a signal for communication (e.g. channel measurement, channel estimation, synchronization, carrying data information, etc.), a signal for perception, or a signal for both communication and perception. In particular, it may also be a signal for which kind of perceived service or a signal for which kind of perceived service.

Wherein the perceived traffic may include at least one of:

The detection of the presence or absence of a target, positioning, speed detection, distance detection, angle detection, acceleration detection, material analysis, component analysis, shape detection, classification, radar cross-sectional area RCS (Radar Cross Section, RCS) detection, polarized scattering characteristics detection, fall detection, intrusion detection, quantity statistics, indoor positioning, gesture recognition, lip recognition, gait recognition, expression recognition, face recognition, respiration monitoring, heart rate monitoring, pulse monitoring, humidity/brightness/temperature/barometric pressure monitoring, air quality monitoring, weather condition monitoring, environmental reconstruction, topography, architecture/vegetation distribution detection, traffic or traffic detection, crowd density, vehicle density detection, etc., the type of perceived traffic may be classified according to a certain feature into a plurality of different perceived traffic classes, for example, classified according to functions into a detected class of perceived traffic (including intrusion detection, fall detection, parameter estimation class perceived traffic (distance, angle, speed calculation), an identified class perceived traffic (motion recognition, identity recognition), etc., classified according to a perceived range (perception, medium distance perception, long distance perception), finely divided according to a perceived degree of perception (fine power consumption, finely divided according to a perceived power consumption/finely divided, finely divided energy consumption, etc., according to a coarse level of perception, etc.

The waveform may be OFDM, single-carrier frequency division multiple access (SC-FDMA), orthogonal time-frequency space (Orthogonal Time Frequency Space, OTFS), frequency modulated continuous wave (Frequency Modulated Continuous Wave, FMCW), or pulse signal;

The subcarrier spacing may be a subcarrier spacing of an OFDM system, for example, 30KHz.

The guard interval may be a time interval from a signal end transmission time to a time when a latest echo signal of the signal is received, and the parameter is proportional to a maximum perceived distance, for example, may be calculated by c/(2R_max), where R_max is the maximum perceived distance (belonging to the perceived demand information), such as R_max represents a maximum distance from a perceived signal transmitting point to a signal reflecting point for a perceived signal that is spontaneously received, and in some cases, an OFDM signal Cyclic Prefix (CP) may function as a minimum guard interval, and c is a light speed.

The frequency domain start position may be a start frequency point, or may be a Resource Element (RE) or a Resource Block (RB) index.

The frequency domain resource length can be frequency domain bandwidth, the frequency domain bandwidth is inversely proportional to the distance resolution, and the frequency domain bandwidth B of each signal is more than or equal to c/(2DeltaR), wherein c is the light speed, and DeltaR is the distance resolution.

The frequency domain resource interval represents the frequency domain resource unit interval of the adjacent signals, and may be represented by the number of REs or the number of RBs, or may be represented by a Density value (Density), for example, density=1 indicates that there is one RE in each RB for carrying signals. The frequency domain resource interval is inversely proportional to the maximum ambiguity free distance/delay, where for an OFDM system the frequency domain interval is equal to the subcarrier interval when a continuous mapping is employed for the subcarriers.

The time domain start position may be a start time point, or may be a start symbol, a time slot, or a frame index.

The time domain resource length may be a burst (burst) duration, and the time domain resource length is inversely proportional to the doppler resolution.

The time domain resource interval may be a time interval between two adjacent signal resource units, where the time domain resource interval is associated with a maximum unambiguous doppler shift or a maximum unambiguous velocity.

The time domain burst (burst) information may include a time domain burst resource interval or a time domain burst transmission period, and the time domain burst resource interval or the time domain burst transmission period is associated with a sensing result refresh frequency.

The time domain resource characteristic may be periodic transmission, semi-persistent transmission, or aperiodic transmission.

The signal power may be an interval power value, for example, from-20 dBm to 23dBm at intervals of 2 dBm.

The sequence information may include sequence type information (such as ZC sequence, PN sequence, etc.), a sequence generation manner, a sequence length, etc.

The signal direction may be angle information or beam information of the signal transmission.

The QCL relationship may indicate that the signal includes a plurality of resources, each resource being associated with a synchronization signal block (Synchronization Signal Block, SSB) QCL, the QCL including a type a, a type B, a type C, or a type D.

The Cyclic Prefix (CP) information may include a CP type or a CP length, etc., wherein the CP type may include a normal Cyclic Prefix (Normal Cyclic Prefix, NCP), an extended Cyclic Prefix (Extended Cyclic Prefix, ECP), or a newly designed perception measurement dedicated CP, etc.

The first equipment can conduct more accurate measurement through the signal configuration information.

The measured resource indication information can be at least one of a signal resource identifier, a signal port index, a beam identifier and a beam pair identifier, and the first device can perform more accurate measurement through the measured resource indication information.

The measurement quantity information is a sensing measurement quantity information for sensing measurement, wherein the sensing measurement quantity can be divided into the following types:

The first level of measurement (also referred to as received signal/raw channel information) includes at least one of:

Receiving a signal/channel response complex result, amplitude/phase, an I/Q circuit and related operation results (operations comprise addition, subtraction, multiplication, matrix addition, multiplication, matrix transposition, triangular relation operation, square root operation, power operation and the like, threshold detection results of the operation results, maximum/minimum value extraction results and the like, wherein the operations also comprise fast Fourier transform (Fast Fourier Transform, FFT)/inverse fast Fourier transform (INVERSE FAST Fourier Transform, IFFT), discrete Fourier transform (Discrete Fourier Transform, DFT)/inverse discrete Fourier transform (INVERSE DISCRETE Fourier Transform, IDFT), 2D-FFT, 3D-FFT, matched filtering, autocorrelation operation, wavelet transform, digital filtering and the like, and threshold detection results, maximum/minimum value extraction results and the like of the operation results;

a second level measurement (also referred to as a base measurement) comprising at least one of delay, doppler, angle, intensity, and multi-dimensional combined representations thereof;

Third level measurements (also known as basic properties/states) including at least one of distance, velocity, orientation, spatial position, acceleration;

The fourth level of measurement (also known as a further attribute/state) includes at least one of the presence or absence of a target, trajectory, motion, expression, vital sign, quantity, imaging result, weather, air quality, shape, texture, composition.

Through the measurement quantity information, the first equipment can conduct more accurate measurement.

The reporting configuration information may indicate a reporting criterion of the measurement result of the first device, for example, including at least one of a reporting time-frequency domain resource configuration, a reporting period, and a reporting trigger event.

Wherein the triggering event comprises at least one of:

An event of entering a specific area (e.g., cell);

An event arriving at a specific time;

an event that a certain type of measurement signal reaches a certain threshold;

An event that the device moves beyond some predefined (straight) distance from a previous location;

An event that the device orientation changes by more than some predefined angle, wherein the device orientation may be the orientation of an antenna, screen, etc. of the device;

events in which the speed of movement of the device exceeds some predefined speed threshold;

The device sensor measures events where the resulting environmental information changes (e.g., temperature/humidity/illumination intensity) over a range.

Through the reporting configuration information, the first equipment can report more reliably.

It should be noted that, in the embodiment of the present application, the content included in the first information may be sent through one or more signaling.

As an alternative embodiment, the first information is associated with at least one of:

sensing requirement information and capability information of the first device.

Wherein the association of the first information with the at least one item is to be understood that all or part of the content included in the first information is determined based on the at least one item. Since all or part of the content in the first information is determined based on the sensing requirement information, the measurement performed by the first device can be more matched with the sensing requirement, so that the measurement performance is improved. And determining all or part of the content in the first information based on the capability information of the first device, so that the measurement performed by the first device can be more matched with the capability of the first device to improve the measurement performance.

Wherein the perceived-demand information includes at least one of:

the perceived service or perceived service type refers to the corresponding description of the above embodiments, and is not repeated here;

a perception target area, which may be a location area where a perception object may exist or where imaging or environmental reconstruction is required;

The sensing object types can be used for classifying the sensing objects according to possible motion characteristics of the sensing objects, and each sensing object type comprises information such as the motion speed, the motion acceleration, the typical RCS and the like of typical sensing objects;

perceived QoS, which may be a performance indicator perceived for a perceived target area or perceived object, includes at least one of:

The sensing resolution can be divided into ranging resolution, angular resolution, speed measurement resolution, imaging resolution and the like;

the sensing precision can be divided into ranging precision, angle measuring precision, speed measuring precision, positioning precision and the like;

the sensing range can be divided into a ranging range, a speed measuring range, a angle measuring range, an imaging range and the like;

the sensing time delay can be a time interval from sending the sensing signal to obtaining the sensing result, or a time interval from initiating the sensing requirement to obtaining the sensing result;

sensing update rate, such as time interval between two adjacent sensing execution and sensing result obtaining;

detection probabilities, such as the probability of being correctly detected in the presence of a perceived object;

False alarm probability, such as probability of false detection of a perceived target in the absence of a perceived object;

The maximum number of targets that can be perceived.

The capability information of the first device may include at least one of:

the supported perceived service;

Supported awareness types, such as supported awareness traffic types;

Sensing capability information such as sensing range, maximum resolution, accuracy, etc., wherein the sensing range may be a time delay/distance range, a Doppler/velocity range or an angle range, etc.;

receiving processing capability information, such as whether clustering is supported, a supported clustering algorithm;

Receiving antenna port information, such as the number, index, etc. of the receiving antenna ports;

beam information such as the number of supported beams, direction, beam width, etc.;

antenna information, which may include antenna panel or array information, such as the number of antennas of different panels or arrays, aperture size, etc.

The capability information of the first device may be provided by the first device to the second device, for example, the method further includes:

the first device sends the capability information to the second device.

In some embodiments, the capability information of the first device may also be acquired by the second device through other devices.

As an alternative embodiment, the method further comprises:

the first device sends feedback information, the feedback information including at least one of:

The method comprises the steps of sensing a measurement result, sensing a performance index, description information associated with the sensing measurement result, description information associated with the sensing performance index, sensing service or a sensing service type corresponding to the sensing measurement result, and sensing service or a sensing service type corresponding to the sensing performance index;

Wherein the perceptual performance index is obtained by the measuring.

The first device may send feedback information to the second device or the third device, and the third device may be a terminal or a network device.

The perception measurements may include at least one of:

Whether a target is detected;

The number of targets detected;

parameter estimation results of the detected target or path, which may include at least one of delay, doppler, angle, distance, velocity, position coordinates;

spectral information such as at least one of a delay spectrum, a distance spectrum, a doppler spectrum, a velocity spectrum, an angle (including azimuth and/or elevation) spectrum, or joint spectral information of at least two of a delay/distance, doppler/velocity, angle, such as a delay-doppler spectrum, or a delay-doppler-angle spectrum.

The presence or absence of the targets, the number of the targets, or the parameter estimation result may be a result before clustering or a result after clustering.

The spectral information may refer to complex results, such as delay-doppler spectrum refers to delay, doppler index and corresponding complex values in a 2-dimensional spectrum, or power spectrum, such as delay-doppler spectrum refers to delay, doppler index and corresponding power values in a 2-dimensional spectrum.

In addition, the spectrum information may be complete spectrum information calculated according to the channel information, or may be a subset of the complete spectrum information, for example, a subset of spectrum information corresponding to a specific delay or doppler range in a delay-doppler spectrum.

The spectrum information can also be the incoherent combination result of spectrum information corresponding to different signal resources or ports or beams.

The perceptual performance index may include at least one of:

Receiving a power-related perceptual index;

a perceived indicator related to interference or noise power;

a perceived indicator related to received power and also related to interference or noise power.

The received power related sensing index may include a first index, where the first index is used to indicate the received power of the sensing target association path.

In some embodiments, the first index may be a linear average (unit is W) of the received power of the path associated with the perception target in the channel response measured on the first signal on a resource unit carrying the first signal, where the resource unit is a time domain or frequency domain resource unit, so that the received power may be more accurate and reliable through the linear average. It should be noted that the embodiment of the present application is not limited to the received power being a linear average, and may be, for example, taking the median received power, the lowest received power, or the highest received power in some embodiments.

The first signal is a signal measured by the first device, such as a dedicated signal for sensing services, or a communication signal, such as a reference signal, a synchronization signal, and the like.

The above-mentioned interference or noise power related perceptual indicator comprises at least one of the following:

A second index, wherein the second index is the sum of a first linear average value and a second linear average value, the first linear average value is the linear average value of power of other paths except for a path related to a perception target in channel response of a first signal on a target resource, and the second linear average value is the linear average value of interference or noise power of other signals except the first signal on the first resource, or the second index is equal to the difference value between total received power and the first index, and the total received power is the total received power of the first equipment on the target resource;

A third indicator, where the third indicator is a linear average value of interference or noise power from signals other than the first signal on the second resource, or the third indicator is equal to a difference value between a total received power and a received power of the first signal, where the total received power is a total received power of the first device on a target resource;

a fourth index, which is a linear average value of power of other paths except for a path associated with a sensing target in channel response of the first signal on a target resource, or is equal to a difference value between the received power of the first signal and the first index;

The first index is used for indicating the received power of the path of the first signal associated with the perceived target, the target resource is a transmission resource of the first signal, the first resource comprises the target resource or at least one resource except the target resource, and the second resource comprises the target resource or at least one resource except the target resource.

The other paths may be all or part of the paths of the first signal except the paths associated with the perception targets.

The other signals than the first signal may refer to that the first device detects all or part of the signals other than the first signal on the first resource.

The first resource includes the target resource or at least one resource other than the target resource means that the first resource includes at least one of the following:

a target resource, at least one resource other than the target resource.

The above second resource including the target resource or at least one resource other than the target resource means that the second resource includes at least one of:

a target resource, at least one resource other than the target resource.

The at least one resource other than the target resource may refer to at least one resource other than the target resource, such as a resource configured by higher layer signaling, of resources that the first device needs to detect or receive signals, or a resource that the first device determines in advance that the first device needs to detect or receive signals.

The interference or noise power includes a sum of the interference power and the noise power, and the interference power or the noise power.

The total received power of the first device on the target resource may include the received power of the signals of the serving cell and the non-serving cell on the target resource, the adjacent channel interference power, the thermal noise power, and the like. And the total received power may also be a linear average (in W) of the total received power of the first device on the target resource.

The power corresponding to the received signal strength Indication (RECEIVED SIGNAL STRENGTH Indication, RSSI) of the first device on the first resource may be total received power=rssi×k1, K1 is a coefficient, and K1 may specifically be a protocol assignment or a network side configuration. In some embodiments, the power corresponding to the RSSI may also be RSSI, i.e. total received power=rssi.

The received Power of the first signal refers to a reference signal received Power (REFERENCE SIGNAL RECEIVED Power, RSRP) of the first signal.

The above second index being equal to the difference between the total received power and the first index may be expressed as second index=total received power-first index.

The above-mentioned third index being equal to the difference between the total received power and the received power of the first signal may be expressed as third index=total received power-first signal received power.

The above fourth index being equal to the difference between the received power of the first signal and the first index may be expressed as fourth index=received power of the first signal-first index.

In the above embodiment, the interference or noise of the other paths except the path associated with the sensing target and the other signals except the first signal can be considered when determining the measurement switching by the second index, so that the measurement switching can be more reliable.

In the above embodiment, the interference or noise of the signal other than the first signal may be considered when determining the measurement switching by the third index, so that the measurement switching may be more reliable.

In the above embodiment, the power of the paths other than the path associated with the sensing target may be considered in determining the measurement switching by the fourth index, so that the measurement switching may be more reliable.

The above-mentioned perceptual indicator related to the received power and also related to the interference or noise power means that the perceptual indicator is related to both the received power and the interference or noise power.

In some embodiments, the above-mentioned perceptual indicator related to received power and also related to interference or noise power comprises at least one of:

a fifth index equal to a quotient of the first index divided by the second index;

a sixth index equal to a quotient of the first index divided by the third index;

a seventh index equal to a quotient of the first index divided by the fourth index;

an eighth index equal to a product of a quotient obtained by dividing the first index by the total received power and a target coefficient;

Wherein the total received power is the total received power of the first device on the target resource.

The first index, the second index, the third index, and the fourth index are referred to the above embodiments, and are not described herein. It should be noted that, in the case of including at least one of the fifth index, the sixth index, the seventh index, and the eighth index, the perceptually relevant index in the embodiment of the present application may or may not include the first index, the second index, the third index, and the fourth index.

The target coefficient may be denoted as K2, where, for example, the eighth index=k2=k2 is the first index/total received power, K2 is a coefficient, and K2 may be a protocol assignment or a network configuration.

In this embodiment, by the fifth index, the sixth index, the seventh index, or the eighth index described above, it is possible to realize consideration of the received power and interference or noise in determining the measurement switching, so that the measurement switching is more reliable.

In some embodiments, the above-mentioned perceptual indicator related to the received power and also related to the interference or noise power may further comprise at least one of the following:

An indicator related to perceived SINR, an indicator related to perceived SNR, an indicator related to perceived signal-to-interference Ratio (SIGNAL INTERFERENCE Ratio, SIR), an indicator related to perceived RSRQ.

In some implementations, the diameter associated with the perception target satisfies at least one of:

The parameter meets a first preset threshold or is in a first preset interval range;

The parameters meet preset modulation rules;

The parameter difference with the first reach path meets a second preset threshold, or the parameter difference with the first reach path is in a second preset interval range;

the parameter difference with the reference path meets a third preset threshold, or the parameter difference with the reference path is in a third preset interval range.

Wherein the parameters may include at least one of:

amplitude, power, intensity, energy, phase, doppler, delay, angle;

the parameter differences may include at least one of:

amplitude difference, power difference, intensity difference, energy difference, phase difference, doppler difference, time delay difference and angle difference.

The first preset threshold, the first preset interval range, the second preset threshold, the second preset interval range, the third preset threshold and the third preset interval range may be protocol engagement or configured on the network side, or the preset thresholds or the preset interval ranges are determined by the receiving device according to the sensing priori information or sensing requirements. The parameter meeting the first preset threshold may be that the parameter exceeds or is equal to the first preset threshold, the parameter difference meeting the first preset threshold may be that the parameter difference meeting the first path exceeds or is equal to the second preset threshold, and the parameter difference meeting the reference path may be that the parameter difference meeting the third preset threshold exceeds or is equal to the third preset threshold.

For example, if the sensing service is moving target detection, a path with Doppler larger than zero is needed to be detected as a path associated with the sensing target, or if the traffic scene sensing target is a vehicle, a default speed is 40 km/h-120 km/h, a path in a corresponding speed range (in a Doppler range) is detected as a path associated with the sensing target, or if the distance between a sensing target area and sensing signal receiving and transmitting equipment is needed to meet specific requirements, a path in a corresponding time delay range is detected as a path associated with the sensing target, or if the sensing service is respiration monitoring, a corresponding normal respiration frequency (for example, 15-30 times/min can be used as sensing priori information, and a Doppler range can be calculated correspondingly, and 0.25-0.5 Hz) can be judged according to the gender and age of a person.

The first path may be a Line-of-Sight (LOS) path, specifically a path that first arrives at the receiving end in the first signal. The reference path may be a path that is reflected by a known target, such as a smart supersurface (Reconfigurable Intelligence Surface, RIS), backscatter (Backscatter), or other known passive target.

The preset modulation rule may be a protocol convention or a network side configuration. The specific modulation rule is a modulation rule of a Tag (Tag) or Backscatter device or RIS, i.e. the path associated with the perception target may be the path modulated and reflected by the Tag or Backscatter device or RIS.

In the above-mentioned alternative embodiment, the determination of the path associated with the perception target in multiple ways may be implemented, which may not only improve the flexibility of determining the path associated with the perception target, but also may be determined together based on multiple ways to improve the accuracy of determining the path associated with the perception target.

In some embodiments, before determining the paths associated with the perceived target, a path set may also be determined, the path set including paths whose magnitude, power, intensity, or energy exceeds a certain threshold, as shown in fig. 6, the path set including paths 0,1,2, and 3. And determining the path associated with the perception target based on at least one item in the path set so as to reduce the calculated amount.

The calculation of the index according to the embodiment of the present application is illustrated by the following example, but the calculation of each index according to the embodiment of the present application is not limited thereto.

The first index is calculated as follows:

The first device (e.g., a terminal) performs Channel estimation based on the transmitted first signal X (K) and the received signal Y (K) corresponding to the first signal to obtain a Channel Response (Channel Response) H (K) =y (K)/X (K), where k=0, 1, 2. After the first device acquires the channel response H (k), it is transformed to a first dimension in which the path associated with the perceived target is determined. Then, calculating the power of the path associated with the perception target as a first index, and if the path associated with the perception target comprises a plurality of paths, calculating the sum of the powers of the plurality of paths as the first index.

Wherein the first dimension comprises one of:

shi Yanwei;

Doppler dimension;

Azimuth dimension;

A pitch angle dimension;

Shi Yanwei, the doppler dimension, the azimuth and pitch dimensions. For example, delay-doppler dimension, delay-doppler-angle dimension, etc.;

For example, H (f) is a channel response, where f=0, 1,2,..n-1 represents a frequency domain sampling point (e.g., subcarrier index) that can be transformed to a delay-doppler dimension (first dimension) by performing an inverse fourier transform on H (f), and for example, H (f, t) is a channel response, where f=0, 1,2,..n-1 represents a frequency domain sampling point (e.g., subcarrier index), t=0, 1,2,..m-1 represents a time domain sampling point (e.g., OFDM symbol index), then H (f, t) can be transformed to a delay-doppler dimension (first dimension) by performing an inverse fourier transform on H (f, t) and a fourier transform on a time domain dimension, and for example, H (f, t, s) is a channel response, where f=0, 1,2,..n-1 represents a frequency domain sampling point (e.g., subcarrier index), t=0, 1,2,..m-1 represents a time domain sampling point (e.g., OFDM symbol index), s=0, 1,2,..p-1 represents a time domain sampling point (e.g., doppler index), and a fourier transform on a time domain antenna, and/or a fourier transform on a time domain dimension (f, t) can be performed on a time domain antenna.

The method for determining the path (simply called as the perceived path) associated with the perceived target in the channel response obtained by measuring the first signal comprises the following steps:

a set of paths is determined. The paths in the path set include paths in which the amplitude, power, strength, or energy in all paths exceeds a certain threshold after the channel response is transformed to the first dimension. For example, in FIG. 6, paths 0,1,2,3 are paths of the path set, and a threshold may be set above a noise threshold or above a noise interference threshold, or a protocol convention. Where this step (determining the set of paths) is optional, the paths associated with the perception target may be determined from the next step alone.

The paths satisfying the first condition are selected from the path set or from all paths of the first signal as paths associated with the perception target. The first condition includes at least one of:

The amplitude, power, intensity or energy of the path exceeds a preset threshold or is located in a preset interval range, for example, the preset threshold is 5 times of the noise threshold;

The Doppler of the path exceeds a preset threshold or is located in a preset interval range;

the time delay of the diameter exceeds a preset threshold or is located in a preset interval range;

The angle of the diameter exceeds a preset threshold or is located in a preset interval range;

the difference in amplitude/power/intensity/energy of the path and the first-reach path (e.g., LOS path) or the reference path, which may be a path reflected by a known target (e.g., RIS/Backscatter/other known passive targets, etc.), exceeds a preset threshold or lies within a preset interval;

the Doppler difference between the path and the first-reach path (such as LOS path) or the reference path exceeds a preset threshold or is in a preset interval range;

the time delay difference between the path and the first-reaching path (such as LOS path) or the reference path exceeds a preset threshold or is located in a preset interval range;

The angle difference between the diameter and the first-reaching diameter (such as LOS diameter) or the reference diameter exceeds a preset threshold or is located in a preset interval range;

The amplitude, power, intensity, energy or phase of the paths meet specific modulation rules, the specific modulation rules are those of the Tag/Backscatter equipment or RIS, i.e. the paths associated with the perception targets can be paths modulated and reflected by the Tag/Backscatter equipment or RIS

For example, the ratio of the index (such as the Doppler of the path, the time delay of the path, etc.) exceeding a preset threshold or being located in a preset interval range reaches a preset ratio in a preset time window, or the number of the index (such as the Doppler of the path, the time delay of the path, etc.) exceeding the preset threshold or being located in the preset interval range reaches a preset number of times in the preset time window;

the preset threshold or the set interval range is sent to the receiving device by other devices, and the other devices are determined according to the perception priori information or the perception requirement. The preset threshold or preset interval range may be a protocol convention, or the preset threshold or preset interval range is determined by the receiving device according to the sensing priori information or sensing requirement.

Wherein the perceived prior information or perceived need includes the following information:

The sensing service may be, for example, detection of whether a target exists, positioning, speed detection, distance detection, angle detection, acceleration detection, material analysis, component analysis, shape detection, class division, radar cross-sectional area RCS (Radar Cross Section, RCS) detection, polarization scattering property detection, fall detection, intrusion detection, quantity statistics, indoor positioning, gesture recognition, lip recognition, gait recognition, expression recognition, face recognition, respiration monitoring, heart rate monitoring, pulse monitoring, humidity/brightness/temperature/barometric pressure monitoring, air quality monitoring, weather condition monitoring, environmental reconstruction, topography, building/vegetation distribution detection, people flow or traffic detection, crowd density, vehicle density detection, etc., and the sensing service type may be, for example, classification of a plurality of different sensing services according to functions into sensing services (including, for example, intrusion detection, parameter estimation sensing services (distance, angle, speed calculation), recognition services (motion recognition, identity recognition), etc., as well as sensing ranges (sensing, distance sensing, far-distance sensing, fine granularity, occupation division according to the degree of sensing, fine granularity, occupation sensing, etc., coarse sensing, etc., sensing of the sensing, etc. If the sensing service is respiratory monitoring, the corresponding normal respiratory frequency (for example, 13-21 times per minute for men, 15-20 times per minute for women, 12-20 times per minute for adults, and about 30-40 times per minute for children) can be judged according to the gender and age of the person, and can be used as sensing prior information;

The sensing target area refers to a position area of a sensing object or a position area needing imaging or environment reconstruction, for example, a preset interval range of time delay of a path associated with the sensing target is determined according to the approximate position/distance of the sensing object;

the perceived object types are classified according to possible motion characteristics of the perceived object, and each perceived object type contains information such as a motion speed range, a motion acceleration range, a typical RCS range and the like of a typical perceived object;

for example, the sensing result of the camera is used as sensing priori information, and the sensing target number can be obtained.

For example, in fig. 6, paths 0,1,2,3 are paths in the path set, where paths 2,3 are perceived paths that satisfy a first condition (e.g., their time delays satisfy a preset threshold), and paths 0,1 are paths associated with other scatterers.

In fig. 6, a multipath diagram of the channel response in a first dimension (Shi Yanwei, doppler, azimuth, or elevation) is shown, where the horizontal axis is the first dimension and the vertical axis is the normalized amplitude, power, intensity, or energy.

For a frequency range (frequency range) 1, the reference point (REFERENCE POINT) of the first index may be an antenna connector (antenna connector) of a receiving device, such as a terminal. For frequency range 1, if the receiving device has multiple receiving channels, the first index measured and reported by the receiving device cannot be lower than the index of any single receiving channel. For frequency range 2, the first index measured by a certain receiving channel needs to be measured on the combined signals on multiple antenna units corresponding to the receiving channel.

The first index calculation method 2 may be as follows:

when calculating the received power of the path associated with the perception target, the received power of the path associated with the perception target in the first dimension may be the received power of the path associated with the perception targetWherein N₁ represents the number of paths associated with the perception target.Is the average power of the plurality of paths outside the set of paths in the first dimension.

The calculation mode 1 of the received power of the first signal may be as follows:

The received power of the first signal may be a sum of powers of all paths in a path set determined in a first dimension after a receiving device obtains a Channel Response (Channel Response) H (k) and transforms it to the first dimension.

The calculation method 2 of the received power of the first signal may be as follows:

The received power of the first signal may also be the sum and sum of the powers of all the paths in the first dimension path setWherein N₂ represents the number of paths in the set of paths.

The calculation mode of the total received power:

total received power

Wherein Y (K) is a received signal corresponding to the first signal, k=0, 1,2.

The second index may be calculated as follows:

the channel response H (k) is subjected to a first filtering process to obtain H_filter1 (k), and then a first filtered received signal Y_filter1 (k), i.e., Y_filter1(k)＝H_filter1 (k) X (k), is calculated according to H_filter1 (k) and the first signal X (k). Then subtracting the first filtered received signal Y_filter1 (k) from the received signal Y (k) to obtain an interference and noise signal Y_σ1 (k), i.e., Y_σ1(k)＝Y(k)-Y_filter1 (k), and then calculating to obtain a second index:

wherein the first filtering process is used to eliminate noise and interference in the first dimension and paths associated with non-perception targets, for example, the first filtering process zeroes the amplitude, power, intensity or energy of paths other than the paths associated with perception targets in fig. 6. The channel response H_filter1 (k) after the first filtering process does not include noise and interference and the path associated with the non-perception target, but includes only the path associated with the perception target.

The third index calculation mode 1 may be as follows:

The channel response H (k) is subjected to a second filtering process to obtain H_filter2 (k), and then a second filtered received signal Y_filter2 (k), i.e., Y_filter2(k)＝H_filter2 (k) X (k), is calculated according to H_filter2 (k) and the first signal X (k). Then subtracting the second filtered received signal Y_filter2 (k) from the received signal Y (k) to obtain an interference and noise signal Y_σ2 (k), i.e., Y_σ2(k)＝Y(k)-Y_filter2 (k), and then calculating a third index:

The second filtering process may be noise interference suppression processing in the first dimension (e.g., zeroing out the amplitude, power, intensity, or energy of the paths other than the path set in fig. 6), or minimum mean square error (Minimum Mean Squared Error, MMSE) filtering. The channel response H_filter2 (k) after the second filtering process does not contain noise or interference, and contains only the paths in the path set.

The third index calculation method 2 may be as follows:

According to average power of multiple paths outside the first-dimension pitch diameter setCalculating to obtain a third index P_σ2Where N represents the number of first dimension samples.

It should be noted that, if the receiving device determines a plurality of sensing targets, or the receiving device obtains the number of sensing targets according to sensing prior information or sensing requirements, the following methods exist:

Method 1. Perceptually relevant indicators (also referred to as target indicators) for each perceived target are calculated separately. For example, in FIG. 4, the paths associated with each perceived target are determined and then the perceived related indexes corresponding to each perceived target are calculated, and when calculating the second index corresponding to a perceived target (such as perceived target A), there are two methods, namely, the second index of perceived target A = total received power-the first index of perceived target A, or the second index of perceived target A = total received power-the first index of perceived target A-the first index of perceived target B, (assuming that there are two perceived targets: A and B), and similarly, the fourth index is calculated in two ways, namely, the fourth index of perceived target A = the first index of RSRP-perceived target A of the first signal, or the fourth index of perceived target A = the first index of RSRP-perceived target A of the first signal, (assuming that there are two perceived targets: A and B)

The method 2 comprises calculating a perceptually relevant index for a plurality of perceptual targets. For example, in FIG. 6, the paths associated with any one of the perceived objects are determined, and then both paths are determined as paths associated with the perceived object, which corresponds to treating a plurality of perceived objects as one virtual perceived object, and then calculating a perceived-related index corresponding to the virtual perceived object.

It should be noted that the above calculation method is merely an example, and the embodiment of the present application does not limit the specific calculation method of the index.

The description information associated with the sensing measurement results is used for further describing the sensing measurement results or assisting the device receiving the feedback information to better understand the sensing measurement results. In this way, the feedback of the sensing measurement results can be more effective through the description information related to the sensing measurement results.

The description information related to the sensing performance index is used for further describing the sensing performance index, or assisting the device receiving the feedback information to better understand the sensing performance index. Therefore, the feedback of the perception performance index can be more effective through the description information related to the perception performance index.

The description information associated with the sensing measurement result or the sensing performance index may include at least one of the following:

A time stamp;

Resource information including at least one of a signal resource identification, a port identification (e.g., a first signal port identification, a receive antenna port or receive channel identification, a transmit beam or a receive beam identification;

Device information, wherein the device information may include at least one of a device identification, a device location, a device orientation, a movement speed.

The feedback of the sensing measurement result can be more accurate by feeding back the sensing service or the sensing service type corresponding to the sensing measurement result.

The feedback of the perception performance index can be more accurate through the feedback of the perception service or the perception service type corresponding to the perception performance index.

In the embodiment of the application, first information sent by second equipment is received by first equipment, wherein the first information comprises at least one of measurement rule information and measurement threshold information, and the first equipment performs measurement based on the first information. Therefore, the measurement rule information or the measurement threshold information can be obtained dynamically, and the measurement rule information or the measurement threshold information obtained dynamically is more easily matched with the current measurement, so that the measurement is performed based on the measurement rule information or the measurement threshold information obtained dynamically, and the measurement performance can be improved.

Referring to fig. 7, fig. 7 is a flowchart of a measurement configuration method according to an embodiment of the present application, as shown in fig. 7, including the following steps:

Step 701, the second device sends first information to the first device, where the first information includes at least one of measurement rule information and measurement threshold information.

Optionally, the measurement rule information includes at least one of:

The method comprises the steps of detecting indication information of the strongest path, detecting indication information of paths exceeding a threshold, detecting the number of paths, detecting window information, measuring result granularity information, measuring result clustering information and measuring result dimension reduction information.

Optionally, the measurement clustering information is used to indicate at least one of:

Whether the measurement results are clustered, the clustering type, the clustering method and the clustering parameters.

Optionally, the measurement rule information includes measurement rule information of at least one dimension, the at least one dimension including at least one of:

Time delay dimension, distance dimension, doppler dimension, velocity dimension, angle dimension, and combination dimension;

The combined dimension comprises at least two dimensions of a time delay dimension, a distance dimension, a Doppler dimension, a speed dimension and an angle dimension.

Optionally, the measurement threshold information includes at least one of:

threshold value information, associated parameter information of threshold calculation, at least one threshold level information.

Optionally, in the case that the measurement threshold information includes a plurality of threshold level information, the first device acquires a plurality of measurement results corresponding to the plurality of threshold level information.

Optionally, the threshold calculated associated parameter information includes at least one of:

false alarm probability, threshold factor, constant false alarm rate CFAR detection type, CFAR detection protection unit length, CFAR detection reference unit length, CFAR detection protection unit pattern, CFAR detection reference unit pattern.

Optionally, the first information further includes at least one of:

Signal configuration information, measured resource indication information, measurement quantity information and reporting configuration information.

Optionally, the first information is associated with at least one of:

sensing requirement information and capability information of the first device.

Optionally, the method further comprises at least one of:

the second equipment acquires the perception requirement information;

the second device receives the capability information sent by the first device.

Optionally, the capability information includes at least one of:

the method comprises the steps of supporting a sensing service, supporting a sensing type, sensing capability information, receiving processing capability information, receiving antenna port information, beam information and antenna information.

Optionally, the method further comprises:

The second device receives feedback information sent by the first device, wherein the feedback information comprises at least one of the following:

The method comprises the steps of sensing a measurement result, sensing a performance index, description information associated with the sensing measurement result, description information associated with the sensing performance index, sensing service or a sensing service type corresponding to the sensing measurement result, and sensing service or a sensing service type corresponding to the sensing performance index;

Wherein the perceptual performance index is obtained by the measuring.

It should be noted that, as an implementation manner of the second device corresponding to the embodiment shown in fig. 4, a specific implementation manner of the second device may refer to a description related to the embodiment shown in fig. 4, so that in order to avoid repetitive description, the description of this embodiment is omitted.

The method provided by the embodiments of the present application is illustrated by the following examples:

Embodiment one:

The embodiment mainly describes the explanation of sensing measurement and reporting based on measurement rule indication, and specifically describes the calculation and reporting of measurement results under different measurement rules. An example of a perceived reception process flow is shown in fig. 8.

As shown in fig. 8, after performing a two-dimensional FFT calculation on the channel information, the channel information is transformed to the delay-doppler dimension (i.e., the first dimension) for target detection. Alternatively, the target detection may be performed by transforming to the delay dimension, or the Doppler dimension, or the delay-Doppler-angle dimension.

In order to achieve the ideal sensing performance, during the sensing measurement process, the receiving and transmitting beam needs to be directed to the sensing target or the area, or during the sensing measurement process, the receiving and transmitting beam needs to cover the sensing target or the sensing area, as shown in fig. 9 and fig. 10, respectively, in the dual-base sensing, single-base sensing scenarios, the sensing target or the area and the corresponding receiving and transmitting beam schematic diagrams. The beams may also be referred to as spatial filters (SPATIAL FILTER), among others.

Where (a) in fig. 9 represents a beam coverage specific area and (b) in fig. 9 represents a beam coverage specific object, and (a) in fig. 10 represents a beam coverage specific area and (b) in fig. 10 represents a beam coverage specific object.

The method for detecting the target by the first device in the first dimension can be different for different beam widths or numbers, or target volume or position distribution characteristics, or whether the beam faces a specific sensing area or tracks a specific target. Taking different transmission beam widths as an example, assuming that 4 targets to be detected exist in the environment, when the transmitting device performs beam forming through 4 antennas or 32 antennas, the first dimension (delay dimension) results associated with different transmission beams, which are obtained by the receiving end, are shown in fig. 11 and fig. 12, where fig. 11 shows 4-antenna beam forming delay dimension spectrum information, and fig. 12 shows 32-antenna beam forming delay dimension spectrum information.

As can be seen from a comparison of fig. 11 and 12, there may be a difference in the results of the different beamwidths corresponding to the first dimension of the first device. The strongest paths in the delay profile information under different beams may correspond to the same target for fig. 11, and the strongest paths in the delay profile information under different beams correspond to different targets for fig. 12. For a target with a specific volume, when the transmitting beam or the receiving beam is narrow enough, only a single target needs to be detected under the coverage of each beam, namely, the receiving end can be instructed to detect one or more strongest paths at the moment, and compared with the path of the detection passing threshold, the false alarm probability can be effectively reduced, the detection accuracy is improved, and the reporting expense is reduced. For example, in the case of fig. 12, the strongest path-related delay information associated with each beam may be reported separately. It should be noted that, where the first dimension is a delay dimension, the method is also applicable to the case where the first dimension is other dimensions, such as a delay-doppler dimension, and correspondingly, the measurement result may also be the delay information and the doppler information related to the strongest path in the corresponding delay-doppler dimension. And the data of each strongest path at the corresponding time delay-Doppler spectrum position on each receiving antenna port (receiving channel) can be utilized to perform angle estimation by methods such as spatial spectrum estimation, and angle information can be further obtained. The position coordinate information can also be distance information obtained according to the time delay information, speed information obtained based on the Doppler information, or position coordinate information obtained according to the distance information and the angle information. For the bistatic perception, the delay, doppler or angle information further includes delay difference, doppler difference, and angle difference information, and specifically may further include delay difference, doppler difference, and angle difference information of a reflected signal path and an LOS path associated with the target.

In addition, for different target volumes, position distributions and beam characteristics, the number of strongest paths to be detected may be different, the number of detection paths may be too small, target information may be lost, missed detection may occur, and redundant information during reporting may be increased if the number of detection paths is too large, so that it is necessary to determine the number of paths to be properly detected and reported according to prior information such as sensing requirements or historical measurement, or the beam characteristics.

On the other hand, in fig. 11 and fig. 12, the current minimum scale (detection granularity) of the first dimension (delay dimension) is 10.175ns, one way is to increase the bandwidth of the transmitted first signal and improve the resolution, so that the detection granularity is more refined, or the receiving device can also refine the display scale of the first dimension in a zero filling way. It should be noted that the delay or doppler or angle information of the detected target path (at least one strongest path or a path exceeding a preset threshold) in the first dimension may refer to actual delay, doppler, and angle values, where the actual delay, doppler, and angle values may be information after reporting corresponding quantization, or the delay or doppler or angle information of the detected target path (at least one strongest path or a path exceeding a preset threshold) in the first dimension may also be an index value of the target path in the first dimension under the current detection granularity.

On the other hand, for the method using threshold detection, in practical cases, the detection result of the same target will generally span multiple (distance/doppler) resolution units, i.e. the minimum detection granularity spans multiple first dimensions. At this time, when threshold detection is adopted, more threshold crossing results may occur for the same target, and if all the results are reported, larger redundancy overhead may exist. On the one hand, the number of detected paths can be limited, but the actual target paths can be abandoned. Therefore, when the receiving device supports clustering, clustering can be performed after threshold detection, and corresponding measurement results are reported after combining the information of the paths from the same target.

Embodiment two:

The present embodiment mainly describes an explanation of performing sensing measurement and reporting based on threshold information indication. The method can specifically indicate and use the threshold information, calculate the measurement result and report the threshold information.

CFAR is a threshold detection method commonly used in radar sensing practical engineering application, where, for detection of a specific unit to be detected in a first dimension, signal power or amplitude of several reference units (determined according to lengths or pattern indications of a protection unit and a reference unit) nearby the specific unit to be detected is estimated as clutter/noise power or amplitude at the unit to be detected, and the detection threshold of the unit to be detected is set, for example, the clutter/noise power or amplitude is multiplied by the threshold factor α, so as to obtain a threshold value of the unit to be detected. CFAR detection can be classified into CA-CFAR, GO-CFAR, SO-CFAR, OS-CFAR, and the like according to the calculation method of clutter/noise power. Different CFAR detection types are applicable, and different perceived scene-oriented performances are different, so that a specific CFAR detection type can be determined according to perceived needs or historical measurement results (such as at least one of the number of targets, perceived performance indexes and the like), and indicated to the first device.

Taking delay-doppler two-dimensional CFAR detection as an example, the pattern of reference cells and guard cells for a particular cell to be detected is shown in fig. 13. For one-dimensional CFAR detection or three-dimensional CFAR detection, the description is omitted.

The reference unit length may be, as shown in fig. 13, reference unit length 1 and reference unit length 2 on both sides of the unit to be detected, or an integral reference unit length (length 1+length 2), or an indication. Also, for multi-dimensional CFAR detection, the guard and reference element information may be indicated in terms of different dimensions, such as guard and reference element lengths in fig. 13 indicating the delay and doppler dimensions, respectively. In addition to determining the selection of the reference unit and the protection unit by using the uniform rectangular pattern in fig. 13, the selection may be determined based on other patterns, may be several types of protocol agreements, or the first device informs the second device of multiple patterns in advance, and then dynamically indicates one of the patterns according to the perceived need.

On the other hand, the false alarm probability requirement is associated with the sensing requirement, and the receiving device may not be known, or the first device false alarm probability P_fa, the false alarm probability, the threshold factor α and the reference unit length may be indicated to satisfy a specific relationship, for example P_fa＝(1+α)^-2N (N is the reference unit length). The first device determines one item of threshold factor or reference unit information based on the false alarm probability and the other item, and then calculates a detection threshold.

In order to reduce the computational complexity of the receiving end, the second device may directly calculate the specific threshold according to the perceived need or the historical measurement result, and indicate the specific threshold to the first device. In addition, a unified threshold value may be used by different units to be detected in the first dimension, for example, a unified reference unit window (unified noise/interference window) is set for different units to be detected in the first dimension, and the average power of the reference unit window is calculated and multiplied by a threshold factor α to obtain a detection threshold.

In addition, the RCS characteristics, positions, etc. of different targets are different, and the associated first dimension pitch diameters have different powers or amplitudes, so that if a unified threshold value or a unified threshold calculation parameter is used, weak targets may not be detected, or the false alarm probability is too high. The method can indicate a plurality of thresholds with different grades or calculation parameters of the thresholds with different grades, and the receiving end obtains detection results based on the thresholds with different grades and respectively reports measurement results of target paths meeting the thresholds with different grades. For example, as shown in fig. 5, green, orange, and red represent thresholds of 3 levels (threshold levels 1-3 corresponding to low to high), respectively, the threshold of each level corresponds to a different threshold value or threshold calculation parameter (e.g., threshold factor), the threshold level and a specific threshold value or threshold calculation parameter may be agreed or notified in advance, and the second device may notify the first device of a threshold level indication, and the first device determines a specific detection threshold according to the indication.

The second device may indicate a plurality of different levels of detection thresholds for the first device or may indicate a plurality of threshold levels, the first device performing target detection based on the different levels of thresholds. When the first device reports the sensing measurement result, it may report the measurement result of the target meeting the requirements of different level thresholds, for example, report the measurement result corresponding to each target and the situation that the measurement result meets the different level thresholds, for example, the highest threshold level information that the power or strength of the target associated path meets, and the delay, doppler or angle information of the target associated path.

The measurement method provided by the embodiment of the application can improve the detection performance and save the reporting expense by indicating the measurement rule and the detection threshold information of the sensing signal receiving equipment.

According to the measuring method provided by the embodiment of the application, the execution main body can be a measuring device. In the embodiment of the application, a measurement method performed by a measurement device is taken as an example, and the measurement device provided by the embodiment of the application is described.

According to the measurement configuration method provided by the embodiment of the application, the execution main body can be a measurement configuration device. In the embodiment of the present application, a measurement configuration method performed by a measurement configuration device is taken as an example, and the measurement configuration device provided by the embodiment of the present application is described.

Referring to fig. 14, fig. 14 is a structural diagram of a measuring apparatus according to an embodiment of the present application, and as shown in fig. 14, a measuring apparatus 1400 includes:

a receiving module 1401, configured to receive first information sent by a second device, where the first information includes at least one of measurement rule information and measurement threshold information;

A measurement module 1402 for performing a measurement based on the first information.

Optionally, the measurement rule information includes at least one of:

The method comprises the steps of detecting indication information of the strongest path, detecting indication information of paths exceeding a threshold, detecting the number of paths, detecting window information, measuring result granularity information, measuring result clustering information and measuring result dimension reduction information.

Optionally, the measurement clustering information is used to indicate at least one of:

Whether the measurement results are clustered, the clustering type, the clustering method and the clustering parameters.

Optionally, the measurement rule information includes measurement rule information of at least one dimension, the at least one dimension including at least one of:

Time delay dimension, distance dimension, doppler dimension, velocity dimension, angle dimension, and combination dimension;

The combined dimension comprises at least two dimensions of a time delay dimension, a distance dimension, a Doppler dimension, a speed dimension and an angle dimension.

Optionally, the measurement threshold information includes at least one of:

threshold value information, associated parameter information of threshold calculation, at least one threshold level information.

Optionally, in the case that the measurement threshold information includes a plurality of threshold level information, the first device acquires a plurality of measurement results corresponding to the plurality of threshold level information.

Optionally, the threshold calculated associated parameter information includes at least one of:

false alarm probability, threshold factor, constant false alarm rate CFAR detection type, CFAR detection protection unit length, CFAR detection reference unit length, CFAR detection protection unit pattern, CFAR detection reference unit pattern.

Optionally, the first information further includes at least one of:

Signal configuration information, measured resource indication information, measurement quantity information and reporting configuration information.

Optionally, the first information is associated with at least one of:

sensing requirement information and capability information of the first device.

Optionally, the apparatus further comprises:

and the first sending module is used for sending the capability information to the second equipment.

Optionally, the capability information includes at least one of:

the method comprises the steps of supporting a sensing service, supporting a sensing type, sensing capability information, receiving processing capability information, receiving antenna port information, beam information and antenna information.

Optionally, the apparatus further comprises:

The second sending module is used for sending feedback information, and the feedback information comprises at least one of the following:

The method comprises the steps of sensing a measurement result, sensing a performance index, description information associated with the sensing measurement result, description information associated with the sensing performance index, sensing service or a sensing service type corresponding to the sensing measurement result, and sensing service or a sensing service type corresponding to the sensing performance index;

Wherein the perceptual performance index is obtained by the measuring.

The measuring device can improve the measuring performance.

The measuring device in the embodiment of the application can be an electronic device, for example, an electronic device with an operating system, or can be a component in the electronic device, for example, an integrated circuit or a chip. For example, the electronic device may be a terminal, or may be other devices besides a terminal. By way of example, the terminals may include, but are not limited to, the types of terminals listed in the embodiments of the present application, and the other devices may be servers, network attached storage (Network Attached Storage, NAS), etc., and the embodiments of the present application are not limited in detail.

The measuring device provided by the embodiment of the application can realize each process realized by the method embodiment shown in fig. 4 and achieve the same technical effects, and in order to avoid repetition, the description is omitted here.

Referring to fig. 15, fig. 15 is a block diagram of a measurement configuration apparatus according to an embodiment of the present application, and as shown in fig. 15, a measurement configuration apparatus 1500 includes:

a first sending module 1501 is configured to send first information to a first device, where the first information includes at least one of measurement rule information and measurement threshold information.

Optionally, the measurement rule information includes at least one of:

The method comprises the steps of detecting indication information of the strongest path, detecting indication information of paths exceeding a threshold, detecting the number of paths, detecting window information, measuring result granularity information, measuring result clustering information and measuring result dimension reduction information.

Optionally, the measurement clustering information is used to indicate at least one of:

Whether the measurement results are clustered, the clustering type, the clustering method and the clustering parameters.

Optionally, the measurement rule information includes measurement rule information of at least one dimension, the at least one dimension including at least one of:

Time delay dimension, distance dimension, doppler dimension, velocity dimension, angle dimension, and combination dimension;

The combined dimension comprises at least two dimensions of a time delay dimension, a distance dimension, a Doppler dimension, a speed dimension and an angle dimension.

Optionally, the measurement threshold information includes at least one of:

threshold value information, associated parameter information of threshold calculation, at least one threshold level information.

Optionally, in the case that the measurement threshold information includes a plurality of threshold level information, the first device acquires a plurality of measurement results corresponding to the plurality of threshold level information.

Optionally, the threshold calculated associated parameter information includes at least one of:

false alarm probability, threshold factor, constant false alarm rate CFAR detection type, CFAR detection protection unit length, CFAR detection reference unit length, CFAR detection protection unit pattern, CFAR detection reference unit pattern.

Optionally, the first information further includes at least one of:

Signal configuration information, measured resource indication information, measurement quantity information and reporting configuration information.

Optionally, the first information is associated with at least one of:

sensing requirement information and capability information of the first device.

Optionally, the apparatus further comprises at least one of:

the first acquisition module is used for acquiring the perception requirement information;

and the second acquisition module is used for receiving the capability information sent by the first equipment.

Optionally, the capability information includes at least one of:

the method comprises the steps of supporting a sensing service, supporting a sensing type, sensing capability information, receiving processing capability information, receiving antenna port information, beam information and antenna information.

Optionally, the apparatus further comprises:

The receiving module is used for receiving feedback information sent by the first equipment, wherein the feedback information comprises at least one of the following items:

The method comprises the steps of sensing a measurement result, sensing a performance index, description information associated with the sensing measurement result, description information associated with the sensing performance index, sensing service or a sensing service type corresponding to the sensing measurement result, and sensing service or a sensing service type corresponding to the sensing performance index;

Wherein the perceptual performance index is obtained by the measuring.

The measurement configuration device can improve measurement performance.

The measurement configuration device in the embodiment of the application can be an electronic device, for example, an electronic device with an operating system, or can be a component in the electronic device, for example, an integrated circuit or a chip. The electronic device may be a terminal or a network side device.

The measurement configuration device provided by the embodiment of the present application can implement each process implemented by the method embodiment shown in fig. 7, and achieve the same technical effects, and in order to avoid repetition, a detailed description is omitted here.

Optionally, as shown in fig. 16, the embodiment of the present application further provides a communication device 1600, including a processor 1601 and a memory 1602, where the memory 1602 stores a program or instructions that can be executed on the processor 1601, for example, when the communication device 1600 is a first device, the program or instructions implement the steps of the above measurement method embodiment when executed by the processor 1601, and achieve the same technical effects. When the communication device 1600 is a second device, the program or the instruction, when executed by the processor 1601, implements the steps of the above measurement configuration method embodiment, and the same technical effects can be achieved, so that repetition is avoided, and no further description is given here.

The embodiment of the application also provides communication equipment which comprises a processor and a communication interface, wherein the communication interface is used for receiving first information sent by the second equipment, and the first information comprises at least one of measurement rule information and measurement threshold information, and is used for measuring based on the first information. The communication device embodiment corresponds to the measurement method embodiment, and each implementation process and implementation manner of the method embodiment can be applied to the communication device embodiment, and the same technical effects can be achieved.

Specifically, fig. 17 is a schematic diagram of a hardware structure of a device for implementing an embodiment of the present application, where the device is a first device or a second device.

The device 1700 includes, but is not limited to, at least some of the components of a radio frequency unit 1701, a network module 1702, an audio output unit 1703, an input unit 1704, a sensor 1705, a display unit 1706, a user input unit 1707, an interface unit 1708, a memory 1709, a processor 1710, and the like.

Those skilled in the art will appreciate that the device 1700 may also include a power source (e.g., a battery) for powering the various components, which may be logically connected to the processor 1710 via a power management system so as to perform functions such as managing charge, discharge, and power consumption via the power management system. The device structure shown in fig. 17 does not constitute a limitation of the device, and the device may include more or less components than shown, or may combine certain components, or may be arranged in different components, which are not described in detail herein.

It should be appreciated that in embodiments of the present application, the input unit 1704 may include a graphics processing unit (Graphics Processing Unit, GPU) 17041 and a microphone 17042, where the graphics processing unit 17041 processes image data of still pictures or video obtained by an image capturing device (e.g., a camera) in a video capturing mode or an image capturing mode. The display unit 1706 may include a display panel 17061, and the display panel 17061 may be configured in the form of a liquid crystal display, an organic light emitting diode, or the like. The user input unit 1707 includes at least one of a touch panel 17071 and other input devices 17072. Touch panel 17071, also referred to as a touch screen. The touch panel 17071 may include two parts, a touch detection device and a touch controller. Other input devices 17072 may include, but are not limited to, a physical keyboard, function keys (e.g., volume control keys, switch keys, etc.), a trackball, a mouse, a joystick, and so forth, which are not described in detail herein.

In the embodiment of the present application, after receiving the downlink data from the network side device, the radio frequency unit 1701 may transmit the downlink data to the processor 1710 for processing, and in addition, the radio frequency unit 1701 may send the uplink data to the network side device. In general, the radio frequency unit 1701 includes, but is not limited to, an antenna, an amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like.

The memory 1709 may be used for storing software programs or instructions and various data. The memory 1709 may mainly include a first storage area storing programs or instructions and a second storage area storing data, wherein the first storage area may store an operating system, application programs or instructions (such as a sound playing function, an image playing function, etc.) required for at least one function, and the like. Further, the memory 1709 may include volatile memory or nonvolatile memory, or the memory 1709 may include both volatile and nonvolatile memory. The nonvolatile Memory may be a Read-Only Memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an Electrically Erasable EPROM (EEPROM), or a flash Memory. The volatile memory may be random access memory (Random Access Memory, RAM), static random access memory (STATIC RAM, SRAM), dynamic random access memory (DYNAMIC RAM, DRAM), synchronous Dynamic Random Access Memory (SDRAM), double data rate Synchronous dynamic random access memory (Double DATA RATE SDRAM, DDRSDRAM), enhanced Synchronous dynamic random access memory (ENHANCED SDRAM, ESDRAM), synchronous link dynamic random access memory (SYNCH LINK DRAM, SLDRAM), and Direct random access memory (DRRAM). Memory 1709 in embodiments of the application includes, but is not limited to, these and any other suitable types of memory.

Processor 1710 may include one or more processing units, and optionally, processor 1710 integrates an application processor that primarily processes operations involving an operating system, user interface, application programs, etc., and a modem processor that primarily processes wireless communication signals, such as a baseband processor. It will be appreciated that the modem processor described above may not be integrated into the processor 1710.

In this embodiment, the above device is taken as a first device, and the first device is exemplified as a terminal.

The radio frequency unit 1701 is configured to receive first information sent by the second device, where the first information includes at least one of measurement rule information and measurement threshold information, and perform measurement based on the first information.

Optionally, the measurement rule information includes at least one of:

The method comprises the steps of detecting indication information of the strongest path, detecting indication information of paths exceeding a threshold, detecting the number of paths, detecting window information, measuring result granularity information, measuring result clustering information and measuring result dimension reduction information.

Optionally, the measurement clustering information is used to indicate at least one of:

Whether the measurement results are clustered, the clustering type, the clustering method and the clustering parameters.

Optionally, the measurement rule information includes measurement rule information of at least one dimension, the at least one dimension including at least one of:

Time delay dimension, distance dimension, doppler dimension, velocity dimension, angle dimension, and combination dimension;

The combined dimension comprises at least two dimensions of a time delay dimension, a distance dimension, a Doppler dimension, a speed dimension and an angle dimension.

Optionally, the measurement threshold information includes at least one of:

threshold value information, associated parameter information of threshold calculation, at least one threshold level information.

Optionally, in the case that the measurement threshold information includes a plurality of threshold level information, the first device acquires a plurality of measurement results corresponding to the plurality of threshold level information.

Optionally, the threshold calculated associated parameter information includes at least one of:

false alarm probability, threshold factor, constant false alarm rate CFAR detection type, CFAR detection protection unit length, CFAR detection reference unit length, CFAR detection protection unit pattern, CFAR detection reference unit pattern.

Optionally, the first information further includes at least one of:

Signal configuration information, measured resource indication information, measurement quantity information and reporting configuration information.

Optionally, the first information is associated with at least one of:

sensing requirement information and capability information of the first device.

Optionally, the radio frequency unit 1701 is further configured to:

and sending the capability information to the second device.

Optionally, the capability information includes at least one of:

the method comprises the steps of supporting a sensing service, supporting a sensing type, sensing capability information, receiving processing capability information, receiving antenna port information, beam information and antenna information.

Optionally, the radio frequency unit 1701 is further configured to:

Transmitting feedback information, wherein the feedback information comprises at least one of the following:

The method comprises the steps of sensing a measurement result, sensing a performance index, description information associated with the sensing measurement result, description information associated with the sensing performance index, sensing service or a sensing service type corresponding to the sensing measurement result, and sensing service or a sensing service type corresponding to the sensing performance index;

Wherein the perceptual performance index is obtained by the measuring.

The above device can improve measurement performance.

It can be appreciated that, in the implementation process of each implementation manner mentioned in this embodiment, reference may be made to the description related to the above-mentioned sensing measurement result sending method, and the same or corresponding technical effects are achieved, so that repetition is avoided, and no further description is given here.

It should be noted that the above apparatus may also implement the steps in the method shown in fig. 7, or may implement the method performed by each module shown in fig. 15.

The embodiment of the application also provides equipment, which comprises a processor and a communication interface, wherein the communication interface is coupled with the processor, and the processor is used for running programs or instructions to realize the steps of the embodiment of the method shown in fig. 7. The embodiment of the device corresponds to the embodiment of the measurement configuration method, and each implementation process and implementation manner of the embodiment of the method can be applied to the embodiment of the device and can achieve the same technical effect.

The embodiment of the application also provides equipment, which comprises a processor and a communication interface, wherein the communication interface is used for sending first information to the first equipment, and the first information comprises at least one of measurement rule information and measurement threshold information.

Specifically, the embodiment of the application also provides a device, which is the first device or the second device. As shown in fig. 18, the apparatus 1800 includes an antenna 1801, a radio frequency device 1802, a baseband device 1803, a processor 1804, and a memory 1805. The antenna 1801 is connected to a radio frequency device 1802. In the uplink direction, the radio frequency device 1802 receives information via the antenna 1801, and transmits the received information to the baseband device 1803 for processing. In the downlink direction, the baseband device 1803 processes information to be transmitted, and transmits the processed information to the radio frequency device 1802, and the radio frequency device 1802 processes the received information and transmits the processed information through the antenna 1801.

The perceptual measurement method in the above embodiment may be implemented in a baseband apparatus 1803, the baseband apparatus 1803 including a baseband processor.

The baseband apparatus 1803 may, for example, include at least one baseband board, where a plurality of chips are disposed, as shown in fig. 18, where one chip, for example, a baseband processor, is connected to the memory 1805 through a bus interface, so as to call a program in the memory 1805 to perform the device operations shown in the above method embodiment.

The device may also include a network interface 1806, such as a common public radio interface (Common Public Radio Interface, CPRI).

Specifically, the apparatus 1800 according to the embodiment of the present application further includes instructions or programs stored in the memory 1805 and capable of running on the processor 1804, and the processor 1804 invokes the instructions or programs in the memory 1805 to execute the method executed by each module shown in fig. 14 or fig. 15, so as to achieve the same technical effect, and thus, for avoiding repetition, the description is omitted herein.

In this embodiment, the above device is exemplified as the second device.

The radio frequency device 1802 is configured to send first information to a first device, where the first information includes at least one of measurement rule information and measurement threshold information.

Optionally, the measurement rule information includes at least one of:

The method comprises the steps of detecting indication information of the strongest path, detecting indication information of paths exceeding a threshold, detecting the number of paths, detecting window information, measuring result granularity information, measuring result clustering information and measuring result dimension reduction information.

Optionally, the measurement clustering information is used to indicate at least one of:

Whether the measurement results are clustered, the clustering type, the clustering method and the clustering parameters.

Optionally, the measurement rule information includes measurement rule information of at least one dimension, the at least one dimension including at least one of:

Time delay dimension, distance dimension, doppler dimension, velocity dimension, angle dimension, and combination dimension;

The combined dimension comprises at least two dimensions of a time delay dimension, a distance dimension, a Doppler dimension, a speed dimension and an angle dimension.

Optionally, the measurement threshold information includes at least one of:

threshold value information, associated parameter information of threshold calculation, at least one threshold level information.

Optionally, in the case that the measurement threshold information includes a plurality of threshold level information, the first device acquires a plurality of measurement results corresponding to the plurality of threshold level information.

Optionally, the threshold calculated associated parameter information includes at least one of:

false alarm probability, threshold factor, constant false alarm rate CFAR detection type, CFAR detection protection unit length, CFAR detection reference unit length, CFAR detection protection unit pattern, CFAR detection reference unit pattern.

Optionally, the first information further includes at least one of:

Signal configuration information, measured resource indication information, measurement quantity information and reporting configuration information.

Optionally, the first information is associated with at least one of:

sensing requirement information and capability information of the first device.

Optionally, the radio frequency device 1802 is further configured to at least one of:

Acquiring the perception requirement information;

and receiving the capability information sent by the first equipment.

Optionally, the capability information includes at least one of:

the method comprises the steps of supporting a sensing service, supporting a sensing type, sensing capability information, receiving processing capability information, receiving antenna port information, beam information and antenna information.

Optionally, the radio frequency device 1802 is further configured to:

receiving feedback information sent by first equipment, wherein the feedback information comprises at least one of the following items:

The method comprises the steps of sensing a measurement result, sensing a performance index, description information associated with the sensing measurement result, description information associated with the sensing performance index, sensing service or a sensing service type corresponding to the sensing measurement result, and sensing service or a sensing service type corresponding to the sensing performance index;

Wherein the perceptual performance index is obtained by the measuring.

The above device can improve measurement performance.

It can be appreciated that the implementation process of each implementation manner mentioned in this embodiment may refer to the related description of the method embodiment and achieve the same or corresponding technical effects, and will not be repeated herein for avoiding repetition.

It should be noted that the above apparatus may also implement the steps in the method shown in fig. 4, or may implement the method performed by each module shown in fig. 14.

Specifically, the embodiment of the application also provides a network side device, which is the second device. As shown in fig. 19, the network-side device 1900 includes a processor 1901, a network interface 1902, and a memory 1903. The network interface 1902 is, for example, a common public radio interface (common public radio interface, CPRI).

Specifically, the network side device 1900 of the embodiment of the present application further includes instructions or programs stored in the memory 1903 and capable of running on the processor 1901, and the processor 1901 calls the instructions or programs in the memory 1903 to execute the method executed by each module shown in fig. 15, and achieves the same technical effects, so that repetition is avoided and therefore, details are not repeated here.

The network interface 1902 is configured to send first information to a first device, where the first information includes at least one of measurement rule information and measurement threshold information.

Optionally, the measurement rule information includes at least one of:

The method comprises the steps of detecting indication information of the strongest path, detecting indication information of paths exceeding a threshold, detecting the number of paths, detecting window information, measuring result granularity information, measuring result clustering information and measuring result dimension reduction information.

Optionally, the measurement clustering information is used to indicate at least one of:

Whether the measurement results are clustered, the clustering type, the clustering method and the clustering parameters.

Optionally, the measurement rule information includes measurement rule information of at least one dimension, the at least one dimension including at least one of:

Time delay dimension, distance dimension, doppler dimension, velocity dimension, angle dimension, and combination dimension;

The combined dimension comprises at least two dimensions of a time delay dimension, a distance dimension, a Doppler dimension, a speed dimension and an angle dimension.

Optionally, the measurement threshold information includes at least one of:

threshold value information, associated parameter information of threshold calculation, at least one threshold level information.

Optionally, in the case that the measurement threshold information includes a plurality of threshold level information, the first device acquires a plurality of measurement results corresponding to the plurality of threshold level information.

Optionally, the threshold calculated associated parameter information includes at least one of:

false alarm probability, threshold factor, constant false alarm rate CFAR detection type, CFAR detection protection unit length, CFAR detection reference unit length, CFAR detection protection unit pattern, CFAR detection reference unit pattern.

Optionally, the first information further includes at least one of:

Signal configuration information, measured resource indication information, measurement quantity information and reporting configuration information.

Optionally, the first information is associated with at least one of:

sensing requirement information and capability information of the first device.

Optionally, the network interface 1902 is further configured to at least one of:

Acquiring the perception requirement information;

and receiving the capability information sent by the first equipment.

Optionally, the capability information includes at least one of:

the method comprises the steps of supporting a sensing service, supporting a sensing type, sensing capability information, receiving processing capability information, receiving antenna port information, beam information and antenna information.

Optionally, the network interface 1902 is further configured to:

receiving feedback information sent by first equipment, wherein the feedback information comprises at least one of the following items:

The method comprises the steps of sensing a measurement result, sensing a performance index, description information associated with the sensing measurement result, description information associated with the sensing performance index, sensing service or a sensing service type corresponding to the sensing measurement result, and sensing service or a sensing service type corresponding to the sensing performance index;

Wherein the perceptual performance index is obtained by the measuring.

The above device can improve measurement performance.

The embodiment of the application also provides a readable storage medium, on which a program or an instruction is stored, which when executed by a processor, implements each process of the above measurement method or the measurement configuration method embodiment, and can achieve the same technical effects, and in order to avoid repetition, the description is omitted here.

Wherein the processor is a processor in the terminal described in the above embodiment. The readable storage medium includes computer readable storage medium such as computer readable memory ROM, random access memory RAM, magnetic or optical disk, etc. In some examples, the readable storage medium may be a non-transitory readable storage medium.

The embodiment of the application further provides a chip, the chip comprises a processor and a communication interface, the communication interface is coupled with the processor, the processor is used for running a program or instructions, the measuring method or each process of the measuring configuration method embodiment can be realized, the same technical effect can be achieved, and the repetition is avoided, and the description is omitted here.

It should be understood that the chips referred to in the embodiments of the present application may also be referred to as system-on-chip chips, or the like.

The embodiments of the present application further provide a computer program/program product, where the computer program/program product is stored in a storage medium, and the computer program/program product is executed by at least one processor to implement each process of the above measurement method or measurement configuration method embodiment, and achieve the same technical effects, so that repetition is avoided, and details are not repeated herein.

The embodiment of the application also provides a wireless communication system, which comprises a first device and a second device, wherein the first device can be used for executing the steps of the measurement method provided by the embodiment of the application, and the second device can be used for executing the steps of the measurement configuration method provided by the embodiment of the application.

It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element. Furthermore, it should be noted that the scope of the methods and apparatus in the embodiments of the present application is not limited to performing the functions in the order shown or discussed, but may also include performing the functions in a substantially simultaneous manner or in an opposite order depending on the functions involved, e.g., the described methods may be performed in an order different from that described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

From the description of the embodiments above, it will be apparent to those skilled in the art that the above-described example methods may be implemented by means of a computer software product plus a necessary general purpose hardware platform, but may also be implemented by hardware. The computer software product is stored on a storage medium (such as ROM, RAM, magnetic disk, optical disk, etc.) and includes instructions for causing a terminal or network side device to perform the methods according to the embodiments of the present application.

The embodiments of the present application have been described above with reference to the accompanying drawings, but the present application is not limited to the above-described embodiments, which are merely illustrative and not restrictive, and many forms of embodiments may be made by those of ordinary skill in the art without departing from the spirit of the application and the scope of the claims, which fall within the protection of the present application.

Claims (37)

1. A method of measurement, comprising:

The first equipment receives first information sent by the second equipment, wherein the first information comprises at least one of measurement rule information and measurement threshold information;

the first device performs a measurement based on the first information.

2. The method of claim 1, wherein the measurement rule information comprises at least one of:

The method comprises the steps of detecting indication information of the strongest path, detecting indication information of paths exceeding a threshold, detecting the number of paths, detecting window information, measuring result granularity information, measuring result clustering information and measuring result dimension reduction information.

3. The method of claim 2, wherein the measurement cluster information is used to indicate at least one of:

Whether the measurement results are clustered, the clustering type, the clustering method and the clustering parameters.

4. A method according to any one of claims 1 to 3, wherein the measurement rule information comprises measurement rule information of at least one dimension comprising at least one of:

Time delay dimension, distance dimension, doppler dimension, velocity dimension, angle dimension, and combination dimension;

The combined dimension comprises at least two dimensions of a time delay dimension, a distance dimension, a Doppler dimension, a speed dimension and an angle dimension.

5. The method according to any of claims 1 to 4, wherein the measurement threshold information comprises at least one of:

threshold value information, associated parameter information of threshold calculation, at least one threshold level information.

6. The method of claim 5, wherein the first device obtains a plurality of measurements corresponding to a plurality of threshold level information in the case where the measurement threshold information includes the plurality of threshold level information.

7. The method of claim 5 or 6, wherein the threshold calculated associated parameter information comprises at least one of:

false alarm probability, threshold factor, constant false alarm rate CFAR detection type, CFAR detection protection unit length, CFAR detection reference unit length, CFAR detection protection unit pattern, CFAR detection reference unit pattern.

8. The method of any of claims 1 to 7, wherein the first information further comprises at least one of:

Signal configuration information, measured resource indication information, measurement quantity information and reporting configuration information.

9. The method of any one of claims 1 to 8, wherein the first information is associated with at least one of:

sensing requirement information and capability information of the first device.

10. The method of claim 9, wherein the method further comprises:

the first device sends the capability information to the second device.

11. The method of claim 9 or 10, wherein the capability information comprises at least one of:

the method comprises the steps of supporting a sensing service, supporting a sensing type, sensing capability information, receiving processing capability information, receiving antenna port information, beam information and antenna information.

12. The method of any one of claims 1 to 11, wherein the method further comprises:

the first device sends feedback information, the feedback information including at least one of:

The method comprises the steps of sensing a measurement result, sensing a performance index, description information associated with the sensing measurement result, description information associated with the sensing performance index, sensing service or a sensing service type corresponding to the sensing measurement result, and sensing service or a sensing service type corresponding to the sensing performance index;

Wherein the perceptual performance index is obtained by the measuring.

13. A measurement configuration method, comprising:

the second device sends first information to the first device, wherein the first information comprises at least one of measurement rule information and measurement threshold information.

14. The method of claim 13, wherein the measurement rule information comprises at least one of:

The method comprises the steps of detecting indication information of the strongest path, detecting indication information of paths exceeding a threshold, detecting the number of paths, detecting window information, measuring result granularity information, measuring result clustering information and measuring result dimension reduction information.

15. The method of claim 14, wherein the measurement cluster information is used to indicate at least one of:

Whether the measurement results are clustered, the clustering type, the clustering method and the clustering parameters.

16. The method of any of claims 13 to 14, wherein the measurement rule information comprises measurement rule information of at least one dimension comprising at least one of:

Time delay dimension, distance dimension, doppler dimension, velocity dimension, angle dimension, and combination dimension;

The combined dimension comprises at least two dimensions of a time delay dimension, a distance dimension, a Doppler dimension, a speed dimension and an angle dimension.

17. The method according to any of claims 13 to 16, wherein the measurement threshold information comprises at least one of:

threshold value information, associated parameter information of threshold calculation, at least one threshold level information.

18. The method of claim 17, wherein the first device obtains a plurality of measurements corresponding to a plurality of threshold level information in the case where the measurement threshold information includes the plurality of threshold level information.

19. The method of claim 17 or 18, wherein the threshold calculated associated parameter information comprises at least one of:

false alarm probability, threshold factor, constant false alarm rate CFAR detection type, CFAR detection protection unit length, CFAR detection reference unit length, CFAR detection protection unit pattern, CFAR detection reference unit pattern.

20. The method of any of claims 13 to 19, wherein the first information further comprises at least one of:

Signal configuration information, measured resource indication information, measurement quantity information and reporting configuration information.

21. The method of any of claims 13 to 20, wherein the first information is associated with at least one of:

sensing requirement information and capability information of the first device.

22. The method of claim 21, wherein the method further comprises at least one of:

the second equipment acquires the perception requirement information;

the second device receives the capability information sent by the first device.

23. The method of claim 21 or 22, wherein the capability information comprises at least one of:

the method comprises the steps of supporting a sensing service, supporting a sensing type, sensing capability information, receiving processing capability information, receiving antenna port information, beam information and antenna information.

24. A measurement device, comprising:

the receiving module is used for receiving first information sent by the second equipment, wherein the first information comprises at least one of measurement rule information and measurement threshold information;

And the measurement module is used for measuring based on the first information.

25. The apparatus of claim 24, wherein the measurement rule information comprises at least one of:

The method comprises the steps of detecting indication information of the strongest path, detecting indication information of paths exceeding a threshold, detecting the number of paths, detecting window information, measuring result granularity information, measuring result clustering information and measuring result dimension reduction information.

26. The apparatus of claim 24 or 25, wherein the measurement threshold information comprises at least one of:

threshold value information, associated parameter information of threshold calculation, at least one threshold level information.

27. The apparatus of any one of claims 24 to 25, wherein the first information is associated with at least one of:

Sensing requirement information and capability information of the first device.

28. The apparatus of claim 27, wherein the apparatus further comprises:

and the first sending module is used for sending the capability information to the second equipment.

29. The apparatus according to any one of claims 24 to 28, wherein the apparatus further comprises:

The second sending module is used for sending feedback information, and the feedback information comprises at least one of the following:

The method comprises the steps of sensing a measurement result, sensing a performance index, description information associated with the sensing measurement result, description information associated with the sensing performance index, sensing service or a sensing service type corresponding to the sensing measurement result, and sensing service or a sensing service type corresponding to the sensing performance index;

Wherein the perceptual performance index is obtained by the measuring.

30. A measurement configuration apparatus, comprising:

The first sending module is used for sending first information to the first equipment, wherein the first information comprises at least one of measurement rule information and measurement threshold information.

31. The apparatus of claim 30, wherein the measurement rule information comprises at least one of:

The method comprises the steps of detecting indication information of the strongest path, detecting indication information of paths exceeding a threshold, detecting the number of paths, detecting window information, measuring result granularity information, measuring result clustering information and measuring result dimension reduction information.

32. The apparatus of claim 30 or 31, wherein the measurement threshold information comprises at least one of:

threshold value information, associated parameter information of threshold calculation, at least one threshold level information.

33. The apparatus of any one of claims 30 to 31, wherein the first information is associated with at least one of:

sensing requirement information and capability information of the first device.

34. The apparatus of claim 33, wherein the apparatus further comprises at least one of:

the first acquisition module is used for acquiring the perception requirement information;

and the second acquisition module is used for receiving the capability information sent by the first equipment.

35. A communication device comprising a processor and a memory storing a program or instructions executable on the processor, which when executed by the processor, performs the steps of the measurement method according to any one of claims 1 to 12, and which when executed by the processor performs the steps of the measurement configuration method according to any one of claims 13 to 23.

36. A readable storage medium, characterized in that the readable storage medium has stored thereon a program or instructions which, when executed by a processor, implement the steps of the measurement method according to any of claims 1 to 12 or the steps of the measurement configuration method according to any of claims 13 to 23.

37. A computer program product, characterized in that it is stored in a storage medium, which is executed by at least one processor to implement the steps of the measurement method according to any one of claims 1 to 12 or to implement the steps of the measurement configuration method according to any one of claims 13 to 23.