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Radar Signal Intra-Pulse Modulation Recognition Based on Deep Residual Network
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作者 Fuyuan Xu Guangqing Shao +3 位作者 jiazhan lu Zhiyin Wang Zhipeng Wu Shuhang Xia 《Journal of Beijing Institute of Technology》 EI CAS 2024年第2期155-162,共8页
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 recog-nition method of complex radar intr... 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 recog-nition 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 sig-nal types under low SNR(2 dB). 展开更多
关键词 intra-pulse modulation low signal-to-noise deep residual network automatic recognition
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