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

被引：0

作者：

Xu F. ^{[1
]}

Shao G. ^{[1
]}

Lu J. ^{[1
]}

Wang Z. ^{[1
]}

Wu Z. ^{[1
]}

Xia S. ^{[1
]}

机构：

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

来源：

Journal of Beijing Institute of Technology (English Edition) | 2024年 / 33卷 / 02期

关键词：

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

D O I：

10.15918/j.jbit1004-0579.2023.097

中图分类号：

学科分类号：

摘要：

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). © 2024 Beijing Institute of Technology. All rights reserved.

引用

页码：155 / 162

页数：7

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