Step S106: and sending the cell identification ID and the received signal strength corresponding to the cell identification ID to a remote terminal so that the remote terminal can analyze the signal strength of the base station and the coverage of the signal according to the cell identification ID and the received signal strength corresponding to the cell identification ID.

The received signal strength corresponding to a cell identifier ID can be detected each time and then transmitted to the remote terminal in real time. The received signal strength corresponding to the detected cell identifier ID may also be stored in a preset entry, where the preset entry may be a table or a storage space, and the like.

Preferably, the cell identifiers ID stored in the preset entry are arranged in descending order or ascending order according to the corresponding received signal strength. The preset entry may be transmitted to the remote terminal.

Preferably, a Global Positioning System (GPS) module is disposed on the frequency scanner, and the frequency scanner can obtain the geographic location of the frequency scanner according to the GPS module. The sweep generator can also store the geographic location corresponding to the cell identification ID in a preset entry.

The Internet of things frequency sweeping method provided by the embodiment of the invention can be applied to a frequency sweep instrument, and in practical application, the frequency sweep instrument can be continuously moved (for example, the frequency sweep instrument is placed on a movable vehicle), so that the frequency sweep instrument can detect that a base station generates a narrowband Internet of things system signal at different geographic positions, and the frequency sweep instrument obtains a pilot signal through a master synchronization position where a master synchronization signal is located in a data frame; and acquiring the cell identification ID at the auxiliary synchronization position where the auxiliary synchronization signal is located in the data frame, thereby determining the received signal strength corresponding to the corresponding cell identification ID, wherein the received signal strength can embody the strength of the signal sent by the base station.

As shown in fig. 2, a schematic flow chart of a method for determining a primary synchronization position carrying a primary synchronization signal in a data frame in a frequency sweeping method for the internet of things according to an embodiment of the present invention is shown, where the method includes:

step S201: a first local signal is generated.

Step S202: and calculating a correlation coefficient between the first local signal and the data frame according to a preset first correlation function, wherein the first correlation function is a function taking a time slot in a time domain and a subcarrier in a frequency domain as independent variables and taking the correlation coefficient as a dependent variable.

There are various ways for the scanistor to generate the first local signal, and the embodiments of the present invention provide, but are not limited to, the following implementation manners.

The first local signal generated by the frequency scanner may be a Zadoff-Chu sequence, and the first local signal d (l, n) may be generated according to the following formula. It is assumed that the transmission period of the first local signal NPSS is 10 ms.

Where n is the time slot in the time domain, l is the number of subcarriers in the frequency domain, Zadoff-Chu is equal to sequence index u-5, and the values of s (l) for different symbol indexes are shown in table 1.

TABLE 1 different symbol indexes S (l) values

The specific mode is as follows:

the first local signal d (l, N) is zero-padded to 128 points, and then after inverse conjugation, the signal is transformed into the time domain through IFFT (inverse fourier transform), and the sequence is S_i(N), i ═ 3,4,. 13, N ═ 0,1,2,. N-1. I.e. the first local signal is truncated into i first local sub-signals, each first local sub-signal being divided by S_iAnd (n) represents.

The first correlation function may be a convolution calculation formula:

calculating the correlation coefficient between each first local sub-signal and the data frame r (l, n),

is S_iConjugation of (n). Calculating a correlation coefficient of a sequence r (l, n) of the first local signal corresponding to the received 20ms data frame, converting the correlation operation into a frequency domain to realize, obtaining (l, n) corresponding to the maximum value (namely the maximum correlation coefficient) of the first correlation function, and determining the maximum value as the position of the main synchronization signal in the data frame.

Step S203: and determining a first time slot corresponding to the maximum correlation coefficient of the first correlation function and a target subcarrier as a main synchronization position in the data frame.

Since the first local signal is intercepted into the plurality of first local sub-signals in step S202, step S203 may specifically include:

judging the size relation between the maximum correlation coefficient corresponding to each first local sub-signal and the data frame and a first preset threshold; determining a first local sub-signal corresponding to the maximum correlation coefficient which is greater than or equal to the first preset threshold value as a target first local sub-signal; and determining the target time slot corresponding to the maximum correlation coefficient which is greater than or equal to the first preset threshold value as a main synchronization position in the data frame.

Since there are i first local sub-signals, each first local sub-signal and the data frame have a maximum correlation coefficient, i.e. there are i maximum correlation coefficients in total.

The first preset threshold may be determined according to practical situations, and is not particularly limited herein. Since only one of the first local sub-signals has a strong correlation with the data frame, a first predetermined threshold is set in order to determine this first local sub-signal. And determining the first local sub-signal corresponding to the maximum correlation coefficient which is greater than or equal to the first preset threshold value as a target first local sub-signal.

Preferably, the target first local sub-signal corresponding to the cell identifier ID is sent to the remote terminal.

As shown in fig. 3, a schematic flow chart of a method for determining an implementation manner of an auxiliary synchronization position carrying an auxiliary synchronization signal in a data frame in a frequency sweeping method for the internet of things provided by the embodiment of the present invention is shown, where the method includes:

step S301: a second local signal is generated.

There are various ways for the scanistor to generate the second local signal, and the embodiments of the present invention provide, but are not limited to, the following implementation manners.

Locally generating a second local signal NSSS sequence, intercepting part of the NSSS and performing correlation calculation with a receiving sequence, wherein the second local signal can be generated by a frequency domain Zadoff-Chu sequence in the following mode:

n is a time slot;

wherein:

n＝0,1,...,131

n′＝nmod131

m＝nmod128

u＝Ncellmod126+3

cyclic shift theta_fIn a radio frame n_fThe following are:

binary scrambling sequence b of second local signal NSSS sequence_q(m) is a Hadamard sequence generated as follows:

wherein: s₀＝0,s₁＝31,s₂＝63,s₃＝127。

Step S302: and calculating a correlation coefficient between the second local signal and the data frame according to a preset second correlation function, wherein the second correlation function is a function taking a time slot of a time domain as an independent variable and taking the correlation coefficient as a dependent variable.

The second correlation function of the second local signal with the data frame may be a convolution calculation method:

calculation of the second local signal d (n), Ncell taking the values 0,1, … … 503, θ_fThe values are 0,2,4,8, and the sequence of the second local signal d (n) has 504 × 4 — 2016 possible sequences, and the Ncell corresponding to the maximum correlation coefficient is selected as the NB-IOT cell identity ID.

Step S202 may specifically be: intercepting the second local signal into a plurality of second local sub-signals; and respectively calculating the correlation coefficient of each second local sub-signal and the auxiliary synchronization signal.

Since only one of the second local signals has a strong correlation with the data frame, the second local signal is truncated into a plurality of second local sub-signals in order to determine this second local sub-signal.

Step S303: and determining a second time slot corresponding to the maximum correlation coefficient of the second correlation function as an auxiliary synchronization position in the data frame.

Step S303 specifically includes:

judging the size relationship between the maximum correlation coefficient corresponding to each second local sub-signal and the data frame and a second preset threshold; determining a second local sub-signal corresponding to the maximum correlation coefficient which is greater than or equal to the second preset threshold value as a target second local sub-signal; and determining the target time slot corresponding to the maximum correlation coefficient which is greater than or equal to the second preset threshold value as the auxiliary synchronization position in the data frame.

The second preset threshold may be determined according to practical situations, and is not particularly limited herein. Since only one of the second local sub-signals has a strong correlation with the data frame, a second predetermined threshold is set in order to determine this second local sub-signal. And determining a second local sub-signal corresponding to the maximum correlation coefficient which is greater than or equal to the second preset threshold value as a target second local sub-signal.

Preferably, the target second local sub-signal corresponding to the cell identifier ID is sent to the remote terminal.

The embodiment of the invention also provides a sweep generator corresponding to the Internet of things sweep method, modules and units contained in the sweep generator are briefly described below, and the detailed description of each module and each unit can refer to corresponding steps in the physical network sweep method, and is not repeated here.

As shown in fig. 4, a schematic structural diagram of a frequency scanner provided in an embodiment of the present invention is shown, where the frequency scanner includes:

the receivingmodule 41 is configured to receive a narrowband internet of things system signal sent by a base station;

a first obtaining module 42, configured to obtain, from the signal, a data frame belonging to a frequency band range corresponding to a preset frequency point, where each frequency point corresponds to a frequency band range;

a first determiningmodule 43, configured to determine a primary synchronization position where a primary synchronization signal is carried in the data frame, and obtain a pilot signal from the primary synchronization position, where the primary synchronization signal includes a pilot signal used for performing channel estimation;

a second determiningmodule 44, configured to determine an auxiliary synchronization position where the data frame carries an auxiliary synchronization signal, and obtain a cell identifier ID from the auxiliary synchronization position, where the auxiliary synchronization signal includes data used to calculate the cell identifier ID to which the data frame belongs, or the cell identifier ID to which the data frame belongs;

a second obtainingmodule 45, configured to obtain, according to the pilot signal, a received signal strength of the cell identifier ID, where the received signal strength includes reference signal received power RSRP, or reference signal received power RSRP and signal-to-noise ratio SINR;

a sendingmodule 46, configured to send the cell ID and the received signal strength corresponding to the cell ID to a remote terminal, so that the remote terminal analyzes the signal strength of the base station and the coverage of the signal according to the cell ID and the received signal strength corresponding to the cell ID.

Optionally, the sending module includes:

Optionally, the sending module further includes:

the first acquisition unit is used for acquiring the geographical position of the sweep generator when receiving the data frame corresponding to the cell identifier ID;

and the second storage unit is used for storing the geographic position corresponding to the cell identification ID into the preset entry.

Optionally, the first determining module includes:

a first generation unit configured to generate a first local signal;

Optionally, the second determining module includes:

a second generating unit configured to generate a second local signal;

As shown in fig. 5, an embodiment of the present invention further provides an internal structural schematic diagram of a frequency scanner, where the frequency scanner may include: aprocessor 51, acommunication interface 52, amemory 53 and acommunication bus 54;

theprocessor 51, thecommunication interface 52 and thememory 53 complete mutual communication through thecommunication bus 54;

alternatively, thecommunication interface 52 may be an interface of a communication module, such as an interface of a GSM module;

aprocessor 51 for executing a program;

amemory 53 for storing programs and data;

the program may include program code including computer operating instructions.

Theprocessor 51 may be a central processing unit CPU or an application specific Integrated circuit asic or one or more Integrated circuits configured to implement embodiments of the present invention.

Thememory 53 may comprise high-speed RAM memory, and may also include non-volatile memory (non-volatile memory), such as at least one disk memory.

Among them, the procedure can be specifically used for:

receiving a narrowband Internet of things system signal sent by a base station;

Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, 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 an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.

The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.

The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A frequency sweeping method of the Internet of things is characterized by being applied to a frequency sweep instrument and comprising the following steps:

receiving a narrowband Internet of things system signal sent by a base station;

2. A frequency sweeping method for the internet of things as claimed in claim 1, wherein the sending the cell ID and the received signal strength corresponding to the cell ID to a remote terminal comprises:

and sending the preset item to the remote terminal.

3. A method for sweeping frequency of an internet of things as claimed in claim 2, wherein the sending the cell ID and the received signal strength corresponding to the cell ID to a remote terminal further comprises:

4. A frequency sweeping method for the internet of things according to claim 1, wherein the determining of the master synchronization position carrying the master synchronization signal in the data frame comprises:

generating a first local signal;

5. A frequency sweeping method for the internet of things according to claim 1, wherein the determining the secondary synchronization position carrying the secondary synchronization signal in the data frame comprises:

generating a second local signal;

6. A sweeping method for the Internet of things according to claim 5, further comprising:

7. A frequency scanner, comprising:

8. A sweep generator as claimed in claim 7, characterized in that the transmitting module comprises:

9. A swept frequency instrument as claimed in claim 7, wherein the first determining module comprises:

a first generation unit configured to generate a first local signal;

10. A swept frequency instrument as claimed in claim 7, wherein the second determination module comprises:

a second generating unit configured to generate a second local signal;