Underwater moving target identification method

Abstract

The invention relates to an underwater moving target identification method. The underwater moving target identification method includes the following steps: conducting preprocessing to target signals received by active sonar, conducting self-mixing (SM) time frequency processing to the target signals after being preprocessed, and extracting a micro-doppler spectrum; extracting intra-frame micro-doppler features and interframe micro-doppler features according to the micro-doppler spectrum; and classifying underwater moving targets based on the intra-frame micro-doppler features and the interframe micro-doppler features. The underwater moving target identification method extracts micro-doppler distribution feathers through echo waveform of underwater moving small target of an active high frequency sonar. A SM algorithm can produce self-correlation items which are identical with west data (WD), mutual disturbance terms cannot exist, the problem that micro-doppler variation restricted by linear frequency modulation (LFM) signal ambiguity function can not be achieved is solved, classification of underwater moving small target of active high frequency sonar single beam echo waveform is achieved, influences of a random channel are reduced through statistics stability of the interframe micro-doppler features, and identification stability is improved.

Description

technical field [0001] The present application relates to the field of underwater acoustic signal processing, and in particular, relates to a method for recognizing an underwater moving target. Background technique [0002] After the end of the Cold War, underwater diving technology has become more and more mature. Due to the good underwater concealment of underwater frogmen, the flexible and flexible new frogman terrorist attack method is quite popular among terrorists. At home and abroad, they have begun to pay attention to the construction and application of underwater security systems for small moving targets such as underwater frogmen, so as to make up for the shortcomings that sonar equipment can only detect large ships and ships in the past. The detection and recognition technology of small underwater moving targets such as frogmen and marine organisms is particularly valued, and countries such as Europe and the United States have invested a lot of effort in research...

AI Technical Summary

Problems solved by technology

[0005] The underwater small target recognition technology in the prior art has the following defects: the micro-Doppler variation cannot be obtained under the constraints of the LFM signal ambiguity function; it needs to rely on high-frequency active sonar multi-beam echo waveforms to classify underwater moving small targets ; The inter-frame micro-Doppler feature is not used, and the recognition stability is not good

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