Radar target imaging and recognition method based on support set constraints

A technology of radar target and identification method, which is applied in the direction of reflection/re-radiation of radio waves, utilization of re-radiation, measurement device, etc. Imaging needs, etc.

Pending Publication Date: 2021-01-08
ENG UNIV OF THE CHINESE PEOPLES ARMED POLICE FORCE
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Problems solved by technology

[0003] However, most of the existing research on compressed sensing radar imaging algorithms is limited to the establishment of imaging models and the optimization of signal reconstruction algorithms, without considering the limita

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  • Radar target imaging and recognition method based on support set constraints
  • Radar target imaging and recognition method based on support set constraints

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Embodiment

[0143]Experimental parameters: radar emits linear frequency modulation signal, signal carrier frequency is 1GHz, pulse signal pulse width is 20μs, bandwidth is 10MHz, carrier aircraft flight radius is 20m, modulation frequency γ=1.2, radar pulse repetition frequency PRF=2000Hz, platform height H=10m, fast time sampling number M=1024, slow time azimuth sampling number N=1024, and the number of division grids is Dx=100, Dy=100, the maximum allowable error is η=10-6, Sparsity K=100, the observation scene is radius R0= 15m circular area.

[0144]The above parameters are used to simulate the point targets and the measured data respectively.

[0145]Seefigure 2 ,image 3 withFigure 4 It can be seen that the target imaging algorithm of compressed sensing radar based on the support set constraint has better noise suppression performance under the condition of low signal-to-noise ratio, thereby improving the imaging quality.

[0146]Figure 5 It is a schematic diagram of the target imaging mean square ...

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Abstract

The invention discloses a radar target imaging and recognition method based on support set constraints. The method comprises the steps that: support set constraint conditions are built according to prior information on the basis of a wavefront reconstruction algorithm of radar target imaging, and a compressed sensing radar target imaging model based on the support set constraints is obtained; andthen a quadratic support set updating method is adopted to improve an orthogonal matching pursuit reconstruction algorithm, the compressed sensing radar target imaging model based on the support set constraints is reconstructed to achieve the purpose of focusing imaging; and finally target recognition is realized by adopting a support vector machine (SVM) learning method based on a high-resolutionimaging result. Due to the fact that the support set constraint conditions are added, better imaging quality can be obtained under a low signal-to-noise ratio compared imaging quality obtained with arandom support set. And on the basis, the marked target high-quality imaging result is used as a training sample to train an SVM learner, and finally an unknown target imaging result is sent to the SVM learner to realize effective target identification.

Description

Technical field[0001]The invention belongs to the technical field of signal and information processing, and specifically relates to a radar target imaging and recognition method based on support set constraints.Background technique[0002]With the development of information technology and signal processing algorithms, radar target imaging and recognition have become more and more widely used in areas such as intelligence reconnaissance, sea surface monitoring, and security inspection. At the same time, people have higher and higher requirements for target imaging quality and target recognition rate. However, in actual engineering, when performing radar target imaging and target recognition, there are a wide range of noise sources, which will have a greater impact on target imaging and recognition results. In order to effectively improve the imaging quality of radar targets and the noise immunity of target recognition, scholars have carried out many researches on radar target imaging t...

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Application Information

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IPC IPC(8): G01S13/89G01S7/41
CPCG01S7/41G01S13/89
Inventor 陈怡君宋德鹏曲毅
Owner ENG UNIV OF THE CHINESE PEOPLES ARMED POLICE FORCE
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