CN107589409A - One kind splits antenna MIMO radar distribution low traffic detection fusion method - Google Patents

One kind splits antenna MIMO radar distribution low traffic detection fusion method Download PDF

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CN107589409A
CN107589409A CN201710724362.9A CN201710724362A CN107589409A CN 107589409 A CN107589409 A CN 107589409A CN 201710724362 A CN201710724362 A CN 201710724362A CN 107589409 A CN107589409 A CN 107589409A
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detection
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cfar
local detectors
radar
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CN107589409B (en
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易伟
陈璐
孙智
付月
周涛
杨晓波
孔令讲
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University of Electronic Science and Technology of China
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Abstract

The invention discloses one kind to split antenna MIMO radar distribution low traffic detection fusion method, belongs to Radar Technology field.Present invention employs one kind to split antenna MIMO radar distribution low traffic detection method;Feature is to use the Distributed Detection method based on detection information auxiliary, carries out a CFAR detection in each local detectors to the data of each passage first, only retains the voltage amplitude data that each passage crosses the sampled point of thresholding;Remaining data are sent to processing center;Then final detection judgement is made after the heart is searched for using remaining data by grid space in processes;Finally by the final decision at center per treatment be sent to each local detectors be used for correct the thresholding that locally detects next time.Solve in practical application under transmission bandwidth confined condition, can only hop data the problem of causing system detectio performance significantly to decline, so as to realize the high-performance detection for splitting antenna MIMO radar under low-traffic condition.

Description

One kind splits antenna MIMO radar distribution low traffic detection fusion method
Technical field
The invention belongs to Radar Technology field, is related to and splits antenna MIMO radar distribution low traffic detection technique.
Background technology
With the rapid hair of " four big threats " (Stealthy Target, electronic interferences, low latitude ultra-low altitude penetration and antiradiation missile) Exhibition, modern radar are faced with increasing challenge.Especially, because ballistic missile, cruise missile, invisbile plane and empty day fly The characteristics such as machine etc. has far firing range, power is big, speed is fast, sectional area is small, cause existing monostatic radar systems power rapid drawdown, shape Into a large amount of monitoring regions of no pressure, to territorial protection, the huge challenge of area monitoring band.Under this background, sensor is had benefited from The fast development of the network communications technology, more radar information fusion treatment technologies and resources control technology, multistation radar collaboration processing System receives the extensive concern of numerous military powers such as the U.S., France, Russia, and by its anti-stealthy, Anti-amyloid-β antibody, The advantages that anti-low-altitude penetration capability and Anti-antiradiation missile, turn into a kind of inexorable trend of future development.
The research emphasis that detection is the collaboration processing of multistation radar is carried out to target using antenna MIMO radar is split, is passed The multistation radar detecting method of system is mainly handled whole signal level information transmissions of multichannel to processing center simultaneously, For detecting.But because the calculating of each radar website in multistation radar cooperative system and communication bandwidth are limited, can not be by respectively The signal level information completely that receiving station obtains is sent to processing center and focused on, and can only now use Distributed Detection side Method, but common Distributed Detection method is reducing amount of calculation with being greatly reduced inspection of the system to target while the traffic Survey performance.Therefore, inspired by wireless senser Distributed Detection technology, using the Distributed Detection side aided in based on detection information Method, this method computation complexity is low, traffic carried is low, and method is simple and easy, is easy to practical application.
The content of the invention
The purpose of the present invention is to be limited for the calculating of each radar website and communication bandwidth and can not transmit complete signal level The problem of information to processing center, research and design one kind split antenna MIMO radar distribution low traffic detection fusion method, Because Bandwidth-Constrained leads to not transmit complete information, the problem of detection performance is greatly reduced when solving MIMO radar detection.
The solution of the present invention is to use the Distributed Detection method based on detection information auxiliary, first to each passage Data carry out a CFAR detection in each local detectors, only retain the voltage amplitude data that each passage crosses the sampled point of thresholding; Remaining data are sent to processing center;Then made most after the heart is searched for using remaining data by grid space in processes Whole detection judgement;Finally by the final decision at center per treatment be sent to each local detectors be used for correct next time locally The thresholding of detection.It is efficiently solved in actual applications under transmission bandwidth confined condition, can only hop data cause The problem of system detectio performance significantly declines, so as to realize the high-performance for splitting antenna MIMO radar under low-traffic condition Detection.
The content described in order to facilitate the description present invention, does following term and explains first:
Define 1.MIMO radars
MIMO radar refers to the multi-input multi-output radar system that transmitting antenna and reception antenna are split.
Define 2. and split antenna MIMO radar
Split that the antenna of antenna MIMO radar is apart from each other, ensure that the independence between each transceiver channel, can it is multiple not Target is observed on equidirectional, so as to effectively antagonize the Radar Cross Section of target (RCS) flicker problem, obtains space Diversity gain and space multi-way gain.
Define 3.CFAR detections
CFAR detections are invariable false alerting (Constant False Alarm Rate) detection, when external interference intensity becomes During change, its sensitivity of radar energy adjust automatically, the false-alarm probability of radar is set to keep constant, also known as " adaptive threshold detecting ".
The present invention proposes one kind and splits antenna MIMO radar distribution low traffic detection fusion method, including following step Suddenly:
Step 1, using sensor emission orthogonal signalling, the multi-channel target echo-signal that each local detectors are received Separated by matched filter;
Step 2, each local detectors sample to the reception signal that step 1 is isolated;
Step 3, the detection threshold according to determination, the signal that each local detectors obtain to step 2 carry out CFAR detections, obtained To the CFAR testing results of multiple passages, the corresponding passage of a local detectors;
Step 4, cross the sample amplitude when reproduced amplitude data of thresholding and its apart from letter after retaining each channel C FAR detectors detection Breath, and it is sent to processing center;
All data fusions received are divided into by step 5, the in processes heart to same datum plane, then by datum plane If dry lattice;The search space according to corresponding to the range information of processing center data determines each grid, find out raster search space The measurement information of corresponding all range cells;
Step 6, space search is carried out in each grid, and the final mesh of processing center is drawn again by threshold processing excessively Mark detection judgement;
Step 7, the final judging result of this processing center is sent to each local detectors, should with reference to local detectors Secondary testing result, update the detection threshold when local detectors next time carry out CFAR detections;
Step 8, repeat step 3- steps 7, repeated detection is carried out to target.
Further, the echo-signal received in the step 1 is:
By positioned at (xj,yj), j=1 ..., N reception radar RjComing from for receiving is located at (xi,yi), i=1 ..., M Cell site TiThe echo-signal for being transmitted into target is yij(t),
Wherein:Q is launching beam gross energy, and N is the total number for receiving radar, and M is the total number of transmitting radar, αijFor mesh It is marked on the complex reflection coefficient of ij passages, siFor i-th of transmitting radar emission to the original transmitted signal of target, nij(t) lead to for ij The white Gaussian noise in road;For splitting antenna MIMO radar, it is desirable to which antenna spacing is remote enough, the noise of different transceiver channels and multiple Reflectance factor is independent;T is observation interval, τijCorrespond to the time delay of ij passages;
The echo data sequence of the i-th j passages output of echo signal sample in the step 2 is yij,
yij=[yij[1],yij[2],...,yij[NT]]
Wherein, NTFor sampling number;
Local detectors CFAR in the step 3 is detected as;
If system false-alarm probability PfaLimit scope:Pfa< αfa, αfaThe maximum false-alarm probability that expression system allows, makes system Detection probability PDIn the case of maximum, the model of detection represents as follows:
Establish following object function J:
J=(1-PD)-λ(Pfafa)
Wherein, λ is Lagrange coefficient, to reach system performance requirements, then needs to make object function J minimum, obtains each logical Road CFAR detectors are:
Wherein, f (yij|H1) for the i-th j passages CFAR detectors in H1Conditional probability density under assuming that, f (yij|H0) For the i-th j passages CFAR detectors in H0Conditional probability density under assuming that, tijFor the thresholding of the i-th j passages.
Further, the more new formula of the CFAR detection thresholds of local detectors is next time in the step 7:
Wherein,The CFAR detection thresholds of n-th of local detectors are represented,For n-th of local detectors K observation;Represent observation probability density when kth time detection target is not present;Represent kth Observation probability density in the presence of secondary detection target;For kth time detection detector thresholding;wnnISNRn, βn∈ (0,1) is normal Coefficient,For the signal to noise ratio of the detector, ek-1For the court verdict at -1 detection process center of kth,It is local for n-th The court verdict of -1 detection of detector kth.
Beneficial effects of the present invention:The method of the present invention first carries out CFAR processing in local detectors, only retains thresholding Sample point data;Remaining data is reached into processing center and carries out final detection judgement;Then this final detection judgement is utilized As auxiliary information is detected next time, reach local detectors and be used to correct local detectors detection threshold next time, it is final real High-performance detection under existing low traffic.
The advantage of the invention is that low traffic multi channel signals can be effectively realized in antenna MIMO radar is split Level joint-detection, on the basis of the traffic is reduced, ensure that higher detection performance, and algorithm amount of calculation is small, realize simple.This Invention can apply to the object detection field such as military, civilian.
Brief description of the drawings
Fig. 1 is flow chart provided by the invention.
After Fig. 2 is the low traffic Distributed Detection method of centralization detection, traditional distributed detection with using the present invention Detection probability curve.
Embodiment
It is of the invention mainly to be verified that all steps, conclusion are all in MATLAB-R2012a using the method for Computer Simulation Upper checking is correct.Specific implementation step is as follows:
Step 1, using sensor emission orthogonal signalling, the multi-channel target echo-signal that each local detectors are received Separated by matched filter
By positioned at (xrj,yrj) (j=1 ..., N) reception radar RjComing from for receiving is located at (xti,yi) (i= 1 ..., M) cell site TiThe echo-signal for being transmitted into target is ylg(t),
Q is launching beam gross energy in above formula, and M is to launch radar number, αijFor target ij passages complex reflection coefficient, siFor i-th of transmitting radar emission to the original transmitted signal of target, nij(t) it is the white Gaussian noise of ij passages.For splitting Antenna MIMO radar, it is desirable to which antenna spacing is remote enough, and the noise and complex reflection coefficient of different transceiver channels are independent.T is observation Time interval, τijThe time delay of ij passages is corresponded to, is defined as follows formula:
Wherein, (xg,yg) it is coordinates of targets, c is the light velocity;
Step 2, sampled echo signals:
Receives echo-signal is sampled, the echo data sequence of the output of the i-th j passages is yij,
yij=[yij[1],yij[2],...,yij[NT]]
Wherein, NTFor sampling number.
Step 3, local detectors CFAR detections:
Assuming that system false-alarm probability PfaLimit within the specific limits, i.e. Pfa< αfa, now need to make system detectio general as far as possible Rate PDMaximum, the then model detected represent as follows:
Following object function J can be established:
J=PM-λ(Pfafa)=(1-PD)-λ(Pfafa)
Wherein, PMFor system false dismissal probability, λ is Lagrange coefficient, to reach system performance requirements, then needs to make target letter Number J is minimum, i.e. min { J }
Obtaining each Local C FAR detectors is:
Wherein, f (yn|H1) for n-th of local detectors in H1Conditional probability density under assuming that, f (yn|H0) it is n-th Local detectors are in H0Conditional probability density under assuming that, tnFor thresholding.
Step 4, retain the sample amplitude when reproduced amplitude data that thresholding is crossed after each local detectors CFAR is detected and its distance letter Breath, and it is sent to processing center;
Step 5, according to the range information of processing center data determine that each grid corresponds to the raster search space of each passage, look for Go out the measurement information of all range cells corresponding to raster search space;
Step 6, grid space search is carried out, and show that the final detection of processing center is adjudicated again by threshold processing is crossed e;
Step 7, the final judging result of this processing center is sent to each local detectors, for correcting office next time The thresholding of portion's detector:
Wherein,For the local detectors kth time observation;When representing that kth time detection target is not present Observation probability density;Represent the observation probability density in the presence of kth time detection target;For kth time detection inspection Survey device thresholding;wnnISNRn, βn∈ (0,1) is constant coefficient,For the signal to noise ratio of the detector, ek-1At -1 detection of kth The court verdict at reason center,For the court verdict of -1 detection of n-th of local detectors kth.
Step 8, repeat step 3- steps 7, repeated detection, the conclusive judgement of the processing center detected every time are carried out to target Determined by this each local detectors observation and last time each localized sensor court verdict.
Pass through above step, it is possible to which realization splits the detection of antenna MIMO radar distribution low traffic high-performance.
In above-mentioned emulation, traditional distributed detection, Distributed Detection and centralized detection using the inventive method Probability curve is as shown in Figure 2.As shown in Figure 2, compared with centralized detection algorithm when detection probability is 0.8, traditional distributed The snr loss of detection 1.5dB, the signal to noise ratio almost free of losses of the Distributed Detection based on detection information auxiliary, it is detected Probability curve is almost completely superposed with centralization detection detection probability curve.Meanwhile centralization detection is adopted four passages are all Sample data are all transferred to processing center, and each passage shares 10000 sampled points, if each sample amplitude when reproduced amplitude needs altogether With 64 binary transmissions, then total traffic capacity is 2.56 × 106;And traditional distributed detection first does one to each channel data Secondary detection, data to the processing center for being only transmitted across the point of thresholding do conclusive judgement, and each sample amplitude when reproduced amplitude is still with 64 Binary transmissions, then can be calculated the traffic is only 1.024 × 103, the traffic is reduced to 0.04%;Aided in based on detection information Distributed Detection one-time detection is first done to each channel data, data to the processing center for being transmitted across the point of thresholding is done finally Adjudicate and conclusive judgement is passed back to each local detectors again and be used to detect next time, each sample amplitude when reproduced amplitude is still with 64 Binary transmissions, then the traffic is can be calculated as 1.28 × 103, the traffic is reduced to 0.05%.Understand institute's extracting method of the present invention Higher detection performance can be ensured while the traffic is substantially reduced.
By the specific implementation of the present invention as can be seen that this method takes full advantage of and splits antenna MIMO radar multichannel Target effective echo information, data traffic during detection is reduced, while ensure that higher detection performance.
One of ordinary skill in the art will be appreciated that embodiment described here is to aid in reader and understands this hair Bright principle, it should be understood that protection scope of the present invention is not limited to such especially statement and embodiment.This area Those of ordinary skill can make according to these technical inspirations disclosed by the invention various does not depart from the other each of essence of the invention The specific deformation of kind and combination, these deform and combined still within the scope of the present invention.

Claims (3)

1. one kind splits antenna MIMO radar distribution low traffic detection fusion method, comprise the following steps:
Step 1, using sensor emission orthogonal signalling, the multi-channel target echo-signal that each local detectors receive is passed through Matched filter is separated;
Step 2, each local detectors sample to the reception signal that step 1 is isolated;
Step 3, the detection threshold according to determination, the signal that each local detectors obtain to step 2 carry out CFAR detections, obtained more The CFAR testing results of individual passage, the corresponding passage of a local detectors;
Step 4, retain the sample amplitude when reproduced amplitude data and its range information that thresholding is crossed after each channel C FAR detectors detect, and It is sent to processing center;
All data fusions received to same datum plane, then datum plane are divided into some by step 5, the in processes heart Grid;The search space according to corresponding to the range information of processing center data determines each grid, it is corresponding to find out raster search space All range cells measurement information;
Step 6, space search is carried out in each grid, and show that the final goal of processing center is examined again by threshold processing is crossed Survey judgement;
Step 7, the final judging result of this processing center is sent to each local detectors, with reference to this inspection of local detectors Result is surveyed, updates the detection threshold when local detectors next time carry out CFAR detections;
Step 8, repeat step 3- steps 7, repeated detection is carried out to target.
2. one kind as claimed in claim 1 splits antenna MIMO radar distribution low traffic detection fusion method, its feature It is in the echo-signal received in the step 1:
By positioned at (xj,yj), j=1 ..., N reception radar RjComing from for receiving is located at (xi,yi), i=1 ..., M hair Penetrate station TiThe echo-signal for being transmitted into target is yij(t),
Wherein:Q is launching beam gross energy, and N is the total number for receiving radar, and M is the total number of transmitting radar, αijExist for target The complex reflection coefficient of ij passages, siFor i-th of transmitting radar emission to the original transmitted signal of target, nij(t) it is ij passages White Gaussian noise;For splitting antenna MIMO radar, it is desirable to which antenna spacing is remote enough, the noise and interflection of different transceiver channels Coefficient is independent;T is observation interval, τijCorrespond to the time delay of ij passages;
The echo data sequence of the i-th j passages output of echo signal sample in the step 2 is yij,
yij=[yij[1],yij[2],...,yij[NT]]
Wherein, NTFor sampling number;
Local detectors CFAR in the step 3 is detected as;
If system false-alarm probability PfaLimit scope:Pfa< αfa, αfaThe maximum false-alarm probability that expression system allows, makes system detectio Probability PDIn the case of maximum, the model of detection represents as follows:
Establish following object function J:
J=(1-PD)-λ(Pfafa)
Wherein, λ is Lagrange coefficient, to reach system performance requirements, then needs to make object function J minimum, obtains each passage CFAR detectors are:
Wherein, f (yij|H1) for the i-th j passages CFAR detectors in H1Conditional probability density under assuming that, f (yij|H0) it is the i-th j The CFAR detectors of passage are in H0Conditional probability density under assuming that, tijFor the thresholding of the i-th j passages.
3. one kind as claimed in claim 1 or 2 splits antenna MIMO radar distribution low traffic detection fusion method, it is special Sign is the more new formula of the CFAR detection thresholds of local detectors is next time in the step 7:
Wherein,The CFAR detection thresholds of n-th of local detectors are represented,For n-th of local detectors kth time Observation;Represent observation probability density when kth time detection target is not present;Represent kth time inspection The observation probability density surveyed in the presence of target;For kth time detection detector thresholding;wnnISNRn, βn∈ (0,1) is often system Number,For the signal to noise ratio of the detector, ek-1For.
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