Ground-based radar multi-target detection method based on compressed sensing

A technology of compressed sensing and detection methods, applied to radio wave measurement systems, instruments, etc., to achieve the effects of reducing the amount of calculation, improving measurement accuracy, and strong adaptability

Active Publication Date: 2017-04-19
NANJING UNIV OF SCI & TECH
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Problems solved by technology

[0004] However, there is no method in the prior art to apply compressive sensing theory to ground radar multi-target detection

Method used

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  • Ground-based radar multi-target detection method based on compressed sensing
  • Ground-based radar multi-target detection method based on compressed sensing
  • Ground-based radar multi-target detection method based on compressed sensing

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Embodiment

[0062] The present invention adopts following parameter to verify:

[0063] The whole system consists of figure 1 , the system is ground radar target detection, the detection distance is 10km ~ 12km, and the detection speed is 0 ~ 60m / s. The distance resolution is 40m, the speed resolution is 1m / s, N τ =40,N υ =40. Set three targets, the distance is [10100,11000,11600], and the speed is [10,20,30].

[0064] Firstly, the multi-target echo signal x is obtained according to step 1, and the sparse transformation matrix Psi is designed so that x is sparse under the sparse transformation matrix Psi. According to step 2, Mwid=500 is selected to determine a 500×1067-dimensional random Gaussian matrix, and 500 observations of the target echo signal with a length of 1067 are obtained. x according to step 3 p The 1 norm of is the optimization variable, and the convex optimization model is established:

[0065] min imize||x p || 1

[0066] subject to y=Phi*Psi*x p

[0067] get...

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Abstract

The invention discloses a ground-based radar multi-target detection method based on compressed sensing. The method includes the steps that sparse representations of echo signals are completed, and a sparse transform matrix is schemed out; a random Gauss matrix is chosen as an observation matrix, and each row vector in the observation matrix is used for projecting target echo signals; part of signal information is obtained, and the echo signals undergo reduced-order observation; the sparse representations of the target echo signals are set as optimization variables, and a convex optimization model is established and solved to obtain a global optimum solution of the sparse representation signals; according to the sparse matrix construction method and the sparse representations of the echo signals, a target time-lag and a target Doppler frequency are obtained. Compared with a traditional orthogonal matching method, the method can correctly detect a large number of targets when the number of targets is uncertain.

Description

technical field [0001] The invention belongs to the field of radar signal processing, in particular to a ground radar multi-target detection method based on compressed sensing. Background technique [0002] In ground radar target detection, the echo signal is often mixed with stronger environmental clutter, and the useful signal is submerged in it. There are many measures for clutter suppression, and corresponding technical means can be adopted on the antenna, transmitter, receiver and signal processor to suppress clutter. Among them, the clutter suppression methods related to signal processing mainly include: Moving Target Indication (MTI) technology, Moving Target Detection (MTD) technology, Pulse Doppler (Pulse Doppler, PD) technology, etc. . In the 1950s, Emerson et al. proposed the concept of Moving Target Indication (MTI), and used it to suppress clutter. Early MTI filters were realized by means of analog circuits and delay lines, and the effect was poor. With the ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/41
CPCG01S7/41
Inventor 张家庆袁小琦谢仁宏芮义斌郭山红李鹏王芮朱唯唯陈倩
Owner NANJING UNIV OF SCI & TECH
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