北京理工大学学报(英文版)2024,Vol.33Issue(2) :155-162.DOI:10.15918/j.jbit1004-0579.2023.097

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

Fuyuan Xu Guangqing Shao Jiazhan Lu Zhiyin Wang Zhipeng Wu Shuhang Xia
北京理工大学学报(英文版)2024,Vol.33Issue(2) :155-162.DOI:10.15918/j.jbit1004-0579.2023.097

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

Fuyuan Xu 1Guangqing Shao 1Jiazhan Lu 1Zhiyin Wang 1Zhipeng Wu 1Shuhang Xia1
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作者信息

  • 1. No.8511 Research Institute of China Aerospace Science & Industry Corp (CASIC), Nanjing 210007, China
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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 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).

Key words

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

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出版年

2024
北京理工大学学报(英文版)
北京理工大学

北京理工大学学报(英文版)

影响因子:0.168
ISSN:1004-0579
参考文献量1
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