Underwater target identification method based on micro-Doppler features

The invention provides an underwater target identification method based on micro-Doppler characteristics. The method mainly comprises the steps of obtaining an underwater target echo high-resolution micro-Doppler time-frequency graph, performing data enhancement on a time-frequency graph sample by adopting a deep convolutional generative adversarial network, selecting a deep neural network to learn a sample data set, generating a sonar echo signal of an underwater target through computer simulation, evaluating the proposed method, and verifyiing the effectiveness of the method in underwater target identification. According to the invention, through high-resolution time-frequency analysis based on compressed sensing, the resolution of the time-frequency graph is improved, the micro-Doppler features of the underwater target can be extracted more effectively, the time-frequency graph sample is subjected to data enhancement and then is used for neural network training, and the purpose of underwater target recogni