Radar Signal Intra-Pulse Modulation Recognition Based on Deep Residual Network

Abstract

In view of low recognition rate of complex radar intra-pulse modulation signal type by traditional methods under low signal-to-noise ratio (SNR), the paper proposes an automatic recognition method of complex radar intra-pulse modulation signal type based on deep residual network. The basic principle of the recognition method is to obtain the transformation relationship between the time and frequency of complex radar intra-pulse modulation signal through short-time Fourier transform (STFT), and then design an appropriate deep residual network to extract the features of the time-frequency map and complete a variety of complex intra-pulse modulation signal type recognition. In addition, in order to improve the generalization ability of the proposed method, label smoothing and L2 regularization are introduced. The simulation results show that the proposed method has a recognition accuracy of more than 95% for complex radar intra-pulse modulation signal types under low SNR (2 dB).

Graphical abstract

Keywords

intra-pulse modulation / low signal-to-noise / deep residual network / automatic recognition