Noise Robust Recognition Method of Radar Target Based on SNR Matching and Echo Enhancement

Abstract

The invention discloses a radar target noise robust identification method based on signal-to-noise ratio matching and echo enhancement, which mainly solves the problem of the performance degradation of narrow-band radar target classification when the radar signal-to-noise ratio is very low. The steps are: (1) generate noise-added data set; (2) use SNR information for template matching; (3) generate training feature matrix; (4) train SVM classifier; (5) preprocess the test set ; (6) Generate test feature matrix; (7) Target recognition. The present invention uses the signal-to-noise ratio information of the target echo signal to be identified to perform template matching, and uses the orthogonal matching tracking OMP method to perform echo enhancement on the echo of the target to be identified, effectively improving the narrowband radar target accuracy under the condition of low signal-to-noise ratio. The recognition accuracy has a certain noise robustness.

Description

technical field [0001] The invention belongs to the technical field of radar, and further relates to a radar target noise robust identification method based on signal-to-noise ratio matching and echo enhancement in the technical field of radar automatic target recognition (RATR). The present invention can perform real-time identification on different targets moving in the air and on the ground in a scene with a low signal-to-noise ratio. Background technique [0002] In actual military combat, radar target echoes inevitably contain noise, especially for long-distance non-cooperative targets in the battlefield environment, the signal-to-noise ratio of the collected target echoes is usually low. However, since the target fretting component only accounts for a small part of the total energy, the fretting component is easily overwhelmed by noise. Usually, the training samples are generated by the cooperation target or simulation, the signal-to-noise ratio is very high, and the ...

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Problems solved by technology

[0005] The purpose of the present invention is to address the shortcomings of the above-mentioned prior art, and propose a radar target noise robust recognition method based on signal-to-noise ratio matching and echo enhancement, which is used to solve the problems of training samples and test samples in the prior art. The problem of model mismatch caused by the performance degradation of target recognition methods caused by different noise ratios and the problem that complex models cannot meet the real-time requirements of target recognition

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