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CN109655822A - A kind of improved track initiation method - Google Patents

A kind of improved track initiation method
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Publication number
CN109655822A
CN109655822ACN201811332022.2ACN201811332022ACN109655822ACN 109655822 ACN109655822 ACN 109655822ACN 201811332022 ACN201811332022 ACN 201811332022ACN 109655822 ACN109655822 ACN 109655822A
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China
Prior art keywords
value
track
track initiation
mark
thresholding
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CN201811332022.2A
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Chinese (zh)
Inventor
李爽爽
王志诚
汤振华
翁孚达
李芬
李灿乐
徐卉
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Shanghai Radio Equipment Research Institute
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Shanghai Radio Equipment Research Institute
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Priority to CN201811332022.2ApriorityCriticalpatent/CN109655822A/en
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Abstract

The invention discloses a kind of improved track initiation methods comprising the steps of: S1, establishes track initiation point mark;S2, direct-vision method determine wave door thresholding, and lock second starting point mark;S3, it is extrapolated according to the first two starting point mark, centered on predicted value, using course error covariance value as the thresholding of tracking gate;If not fallen in S4, scanning element mark in wave door thresholding, track revocation will be originated, S1 has been returned to step and continues.If being fallen into scanning element mark in wave door thresholding, the point mark that following scanning drops into tracking threshold is associated according to the association algorithm that target signature information assists;After S5, the association of scanning element mark, step S3 is continued to execute, until meeting M/N logical approach, determines track initiation success.The present invention is suitable for the simultaneous complex scene of dense clutter noise, and computation complexity is low, and real-time is high, and track initiation accuracy is high, and software algorithm is realized simply, convenient for the application in engineering in practice.

Description

A kind of improved track initiation method
Technical field
The present invention relates to a kind of improved track initiation methods.
Background technique
Radar track start algorithm could can be divided into two major classes, i.e. sequential processes technology and batch system.In general sequenceProcessing technique, which is used primarily in the less environment of clutter, to be started to originate track, there is direct-vision method, logical approach etc.;And in strong clutter ringUnder border, batch system is particularly suited for processing track initiation, and batch system mainly includes Hough transform method and others oneA little innovatory algorithms.Studies have shown that sequential processes technology can preferably handle track initiation problem in relatively quiet environment;And in a noisy environment, Hough transform method can processing track initiation problem relatively accurately, but in such caseUnder, Hough transform method wants computation burden larger, unsuitable when also just causing to use in engineering because its calculation amount is excessive.CauseThis provides a kind of accurate and rapidly track initiation method, is of great significance.
There is patent CN106054150A (" a kind of first to originate the radar track initial mode confirmed afterwards ") introduction in the country at presentA kind of radar track initial mode, by setting actually detected judgement false-alarm probability, so that it is determined that the method for detection threshold.It shouldTargetpath initial probability can be improved compared with existing track initiation method in method, but algorithm realize it is complicated, scene adaptability andProject Realization is poor.
Patent CN107436434A (" the track initiation method based on two-way Doppler estimation ") describes a kind of based on moreThe general track initiation method for strangling information can assist track initiation association algorithm by echo Doppler information, effective to rejectFalseness measures vector, it is suppressed that the formation of false track, and then under conditions of same false track probability, improve targetDetection probability has opened up far detection range.But track initiation stage doppler information, which calculates, to be obscured, and engineering calculation amount is big.
Patent CN106896363A (" a kind of submarine target active tracing track initiation method ") describes a kind of underwater meshTrack initiation method is marked, data are acquired by navigation sensor and sonar sensor, assessed value is obtained and calculates wave door thresholding, moreNew potential track.This method can be suitable for different marine environment can be accurately and efficiently right particularly with high clutter environmentTarget trajectory carries out track initiation, but this method is higher to signal processing system requirement of real-time, and engineering calculation amount is big.
Open source literature " airborne early warning radar sea multiple target boat in " radar science and technology " periodical of 6th phase in 2016The research of mark start algorithm could " describe a kind of sea multi-target traces initial mode.The algorithm is constructed using three frame amount measured dataIt with the primary wave door for deferring sentence structure, overcomes traditional primary wave door and track division and composition problem easily occurs, and pass throughAngle restriction improves traditional related wave door to modified Hough transform.But its limitation is that the algorithm is only applicable toUnder the conditions of airborne radar is to sea, application space has limitation, and project amount is larger, and real-time performance is poor.
" probability based on heuristic logic is false for open source literature in " Shanghai communications university's journal " periodical of 1st phase in 2018If density filtering high-efficiency track initial mode " a kind of high-efficiency track initial mode is described, this method is in regular length sliding windowThe constraint conditions such as speed, acceleration and angle are set, validation checking and confirmation are carried out to the potential measurement for generating newborn target,With the false newborn target of reduction.This method is compared with traditional PHD filtering for surveying starting based on full dose, and the method proposed is substantiallyImprove computational efficiency.But its limitation is that this method track initiation precision is not high, and algorithm is also and remarkable, thus engineeringRealization has little significance.
Summary of the invention
The purpose of the present invention is to provide a kind of improved track initiation methods, with target position, speed, acceleration, angleIt spends variable and calculates thresholding to echo progress preliminary screening, carry out measurement echo in the association algorithm for carrying out target signature auxiliary informationWith being associated with for target, the purpose of accurate initial target track is realized.
In order to achieve the above object, the invention is realized by the following technical scheme:
A kind of improved track initiation method comprising the steps of:
S1, track initiation point mark is established, into S2;
S2, direct-vision method determine wave door thresholding, and lock second starting point mark, enter S3;
S3, it is extrapolated according to the first two starting point mark, centered on predicted value, using course error covariance value as tracking waveThe thresholding of door, into S4;
If not fallen in wave door thresholding in S4, scanning element mark, track revocation will have been originated, has returned to step S1 continuationIt carries out.If being fallen into wave door thresholding in scanning element mark, following scanning is dropped into the point mark in tracking threshold according to target spyThe association algorithm of reference breath auxiliary is associated, into S5;
After S5, the association of scanning element mark, step S3 is continued to execute, until meeting M/N logical approach, determines track initiation success.
Compared with prior art, the present invention with target position, speed, acceleration, angle variables calculate thresholding to echo intoRow preliminary screening measure in the association algorithm for carrying out target signature auxiliary information the associated method of echo and target, purportIt is suitable for the simultaneous complex scene of dense clutter noise providing one kind, computation complexity is low, and real-time is high, track initiationAccuracy is high, and software algorithm is realized simply, convenient for the track initiation method of the application in engineering in practice.
Detailed description of the invention
Fig. 1 is flow chart of the method for the present invention;
Fig. 2 is that target measures the two-dimensional surface distribution map measured with clutter;
Fig. 3 is the track plot of regular logical method track initiation;
Fig. 4 is the track plot based on improved track initiation.
Specific embodiment
Below based on specific embodiment, next the present invention is described in detail.
In the present embodiment, it is assumed that in radar sensor scanning area, there are 5 targets to do linear uniform motion, it is assumed that itsIn two-dimensional surface, the initial position of this 5 targets is respectively as follows: (55000m, 55000m), (45000m, 45000m), (35000m,35000m), (45000m, 25000m), (55000m, 15000m), the initial velocity of this 5 targets are (500m/s, 0m/s).Assuming that radar sensor scan period T is 5 seconds, and the distance of radar sensor observation standard deviation and azimuth observation standard differenceNot are as follows: σr=40m and σθ=0.3 °.Assuming that 4 periods of radar sensor continuous scanning, the number for the clutter that each intermittent scanning arrivesAmount is to obey Poisson distribution, the number average value of clutter be by the square simulating area that is considered size andIn unit area determined by the product of clutter number.
Assuming that limiting the maximum speed in correlation rule in Track initialization algorithm are as follows:And minimum speedAre as follows:Peak acceleration amax=50m/s2The angle continuously scanned three timesAssuming that based on patrolling3/4 logical approach is used in the Track initialization algorithm for the method for collecting, each radar sensor scans preceding 5 points in resulting trace setIt is set to target point, the thresholding value 4 of parameter space enables Nθ=90, Nρ=90.
As shown in Figure 1, method proposed by the present invention specifically executes following steps:
S1, using preliminary sweep point mark as first starting point mark, track initiation point mark is established with this, is transferred to S2.
S2, threshold value is determined using direct-vision method, the point mark fallen into thresholding that second is scanned is as potential trackInitially set up.
Assuming that ri(i=1,2), ti(i=1,2) is the position measuring value of target twice sweep, time value, the amount scannedThe movement velocity of survey should be between maximum speed VmaxWith minimum speed VminBetween, it may be assumed that
R in formulaiFor target span, tiFor target run duration.The constraint of speed greatly limits the range of wave door, especiallyIt is in the environment of strong clutter, clutter number is more, leverages the data correlation of target.
S3, in step S2 as a result, carrying out linear extrapolation obtains each possible track, it is pre- with this momentPoint centered on measured value, the threshold value size by course error covariance value as tracking gate.
It is as follows that course error covariance calculates wave door threshold value method:
If zi(k) be i-th of k moment measurement information, wherein i=1,2 ..., mk.Then measure Zi(k) and Zj(k+1)Distance vector dijAre as follows:
dij(t)=max [0, zj(k+1)-zi(k)-vmaxt]+max[0,-zj(k+1)+zi(k)+vmint] (1)
In formula, t is the time interval of radar scanning twice, generally assumes that error in measurement is zero-mean, independent white GaussianNoise profile, enabling its covariance is Ri(k), then normalized cumulant square are as follows:
D in formulaijIt (k) is obedience χ2The stochastic variable of distribution, freedom degree are that (p is according to Practical Project concrete condition system by pIt is fixed).Distance threshold value γ can be obtained by freedom degree p inquiry, if Dij(k)≤γ, then measure Zi(k) and ZjIt (k+1) is phaseIt is associated.
Similarly, speed, acceleration and angle threshold value calculating method can ibid obtain, wherein measuring Zi(k) and Zj(k+1)Velocity vector are as follows:
Acceleration are as follows:
Angle vector are as follows:
If not fallen in wave door thresholding in S4, scanning element mark, track revocation will have been originated, has returned to step S1 continuationIt carries out.If being fallen into wave door thresholding in scanning element mark, following scanning is dropped into the point mark in tracking threshold according to target spyThe association algorithm of reference breath auxiliary is associated.
Assuming that a is the amplitude information of i-th of k moment measurement, the probability for the amplitude information for enabling it measure from real goalDensity function is p1(a), the probability density function of the false amplitude information measured is p0(a).Then:
D is signal-to-noise ratio (or signal to noise ratio) SNR in formula.
Enabling τ is amplitude information detection threshold, then false-alarm probability and detection probability are respectivelyWithThen:
Increase detection probabilityThen need to reduce amplitude information detection threshold τ, but this also results in false-alarm probabilityIncrease, therefore to reasonably select amplitude information detection threshold τ, the selection of general τ is by false-alarm probabilityIt obtains, it may be assumed that
It is measured by the real goal exported after amplitude information detection threshold τ and the probability of the false amplitude information measured is closeSpending function isWithThen:
It can to sum up obtain:
Enabling amplitude likelihood ratio ρ is the probability density function for the amplitude information that real goal measuresIt is measured with falsenessThe probability density function of amplitude informationThe ratio between, it may be assumed that
Assuming that i-th of measuring value of k+1 moment is zi(k+1), target prediction value is z (k+1 | k), target signature information auxiliaryAssociation algorithm principle be by tracking gate predicted position value of the echo from target and echo amplitude likelihood ratio it is minimumMeasurement as Targets Dots, i.e.,Reach minimum, which then can be used for dbjective state moreIn new.
After S5, the association of scanning element mark, step S3 is continued to execute, (M/N has according to Practical Project until meeting M/N logical approachBody situation is formulated), determine track initiation success.
Although the contents of the present invention are discussed in detail through the above steps, but it should be appreciated that the description above is notIt should be considered as limitation of the present invention.After those skilled in the art have read above content, a variety of repaired for of the inventionChanging and substituting all will be apparent.Therefore, protection scope of the present invention should be limited to the appended claims.

Claims (5)

CN201811332022.2A2018-11-092018-11-09A kind of improved track initiation methodPendingCN109655822A (en)

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CN110187318A (en)*2019-04-232019-08-30四川九洲防控科技有限责任公司A kind of radar data processing method
CN110940971A (en)*2019-11-062020-03-31四川川大智胜软件股份有限公司Radar target point trace recording method and device and storage medium
CN111142101A (en)*2020-01-092020-05-12深圳市华讯方舟微电子科技有限公司Data association method
CN111308459A (en)*2020-03-092020-06-19华域汽车系统股份有限公司Multi-sensor track starting method based on sensor characteristics and measurement sources
CN111398947A (en)*2020-04-082020-07-10成都汇蓉国科微系统技术有限公司Pulse Doppler radar clutter suppression method based on track clutter map
CN111679251A (en)*2020-06-162020-09-18上海航天控制技术研究所Radar-type interference resisting method based on radar infrared dual-mode fusion
CN111983601A (en)*2020-07-172020-11-24北京理工大学 A Track Start Method for Group Target Tracking Based on Bayesian Principle
CN112078230A (en)*2020-09-032020-12-15武汉华茂自动化股份有限公司Fault-equipped operation method of automatic overprinting control system, electronic device and medium
CN112114308A (en)*2019-06-202020-12-22哈尔滨工业大学 A space-time joint target tracking method for fan-scanning radar
CN113064164A (en)*2021-03-162021-07-02北京润科通用技术有限公司Vehicle-mounted radar data association method and device
CN113671482A (en)*2021-09-182021-11-19哈尔滨工业大学Track initiation method based on multi-dimensional screening parallel Hough transformation
CN113673565A (en)*2021-07-162021-11-19杭州电子科技大学Multi-sensor GM-PHD self-adaptive sequential fusion multi-target tracking method
CN114660566A (en)*2022-05-232022-06-24福瑞泰克智能系统有限公司False target elimination method and device, computer equipment and storage medium
CN115372956A (en)*2022-09-022022-11-22哈尔滨工业大学Mixed system radar track starting method based on forward and inverse logic Hough transformation
CN115561750A (en)*2022-09-022023-01-03上海无线电设备研究所 Classification method of millimeter wave radar vehicle type
CN115963486A (en)*2022-12-272023-04-14西北工业大学Track initiation method based on combination of rules and FasterRCNN model
CN116721129A (en)*2023-06-092023-09-08上海航天电子通讯设备研究所Flight path starting method based on batch processing
CN119044948A (en)*2024-11-042024-11-29上海几何伙伴智能驾驶有限公司Track initial speed and course angle acquisition method based on 4D millimeter wave radar
CN119044971A (en)*2024-08-282024-11-29西安电子科技大学Track management method based on multi-frame energy accumulation

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CN110187318A (en)*2019-04-232019-08-30四川九洲防控科技有限责任公司A kind of radar data processing method
CN110187318B (en)*2019-04-232021-07-06四川九洲防控科技有限责任公司Radar data processing method
CN112114308A (en)*2019-06-202020-12-22哈尔滨工业大学 A space-time joint target tracking method for fan-scanning radar
CN112114308B (en)*2019-06-202022-08-02哈尔滨工业大学 A space-time joint target tracking method for fan-scanning radar
CN110940971A (en)*2019-11-062020-03-31四川川大智胜软件股份有限公司Radar target point trace recording method and device and storage medium
CN111142101B (en)*2020-01-092023-09-01深圳市华讯方舟智能信息技术有限公司Data association method
CN111142101A (en)*2020-01-092020-05-12深圳市华讯方舟微电子科技有限公司Data association method
CN111308459A (en)*2020-03-092020-06-19华域汽车系统股份有限公司Multi-sensor track starting method based on sensor characteristics and measurement sources
CN111308459B (en)*2020-03-092023-03-31华域汽车系统股份有限公司Multi-sensor track starting method based on sensor characteristics and measurement sources
CN111398947A (en)*2020-04-082020-07-10成都汇蓉国科微系统技术有限公司Pulse Doppler radar clutter suppression method based on track clutter map
CN111398947B (en)*2020-04-082022-01-11成都汇蓉国科微系统技术有限公司Pulse Doppler radar clutter suppression method based on track clutter map
CN111679251A (en)*2020-06-162020-09-18上海航天控制技术研究所Radar-type interference resisting method based on radar infrared dual-mode fusion
CN111983601A (en)*2020-07-172020-11-24北京理工大学 A Track Start Method for Group Target Tracking Based on Bayesian Principle
CN112078230A (en)*2020-09-032020-12-15武汉华茂自动化股份有限公司Fault-equipped operation method of automatic overprinting control system, electronic device and medium
CN112078230B (en)*2020-09-032022-04-19武汉华茂自动化股份有限公司Fault-equipped operation method of automatic overprinting control system, electronic device and medium
CN113064164A (en)*2021-03-162021-07-02北京润科通用技术有限公司Vehicle-mounted radar data association method and device
CN113064164B (en)*2021-03-162022-11-22北京润科通用技术有限公司Vehicle-mounted radar data association method and device
CN113673565A (en)*2021-07-162021-11-19杭州电子科技大学Multi-sensor GM-PHD self-adaptive sequential fusion multi-target tracking method
CN113673565B (en)*2021-07-162024-02-09杭州电子科技大学Multi-sensor GM-PHD self-adaptive sequential fusion multi-target tracking method
CN113671482A (en)*2021-09-182021-11-19哈尔滨工业大学Track initiation method based on multi-dimensional screening parallel Hough transformation
CN113671482B (en)*2021-09-182022-04-08哈尔滨工业大学Track initiation method based on multi-dimensional screening parallel Hough transformation
CN114660566A (en)*2022-05-232022-06-24福瑞泰克智能系统有限公司False target elimination method and device, computer equipment and storage medium
CN114660566B (en)*2022-05-232022-08-16福瑞泰克智能系统有限公司False target elimination method and device, computer equipment and storage medium
CN115561750A (en)*2022-09-022023-01-03上海无线电设备研究所 Classification method of millimeter wave radar vehicle type
CN115372956A (en)*2022-09-022022-11-22哈尔滨工业大学Mixed system radar track starting method based on forward and inverse logic Hough transformation
CN115561750B (en)*2022-09-022025-06-24上海无线电设备研究所 Millimeter wave radar vehicle model classification method
CN115963486A (en)*2022-12-272023-04-14西北工业大学Track initiation method based on combination of rules and FasterRCNN model
CN115963486B (en)*2022-12-272025-10-03西北工业大学 A track initiation method based on rule and FasterRCNN model
CN116721129A (en)*2023-06-092023-09-08上海航天电子通讯设备研究所Flight path starting method based on batch processing
CN116721129B (en)*2023-06-092025-09-19上海航天电子通讯设备研究所Flight path starting method based on batch processing
CN119044971A (en)*2024-08-282024-11-29西安电子科技大学Track management method based on multi-frame energy accumulation
CN119044948A (en)*2024-11-042024-11-29上海几何伙伴智能驾驶有限公司Track initial speed and course angle acquisition method based on 4D millimeter wave radar
CN119044948B (en)*2024-11-042025-03-07上海几何伙伴智能驾驶有限公司 Method for obtaining track initial velocity and heading angle based on 4D millimeter wave radar

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