Intelligent identification of radar intra-pulse signals

Zi-Long Wu; Xiang-Xuan Huang; Meng Du; Ji-Fei Pan; Da-Ping Bi

doi:10.1117/12.2622460

27 March 2022 Intelligent identification of radar intra-pulse signals

Zi-Long Wu, Xiang-Xuan Huang, Meng Du, Ji-Fei Pan, Da-Ping Bi

Proceedings Volume 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications; 121691Z (2022) https://doi.org/10.1117/12.2622460
Event: Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 2021, Kunming, China

Abstract

For the problem that traditional radar intra-pulse signals identification needs expert knowledge, a method of radar intra-pulse signals identification based on Choi-Williams Distribution (CWD) and Convolutional Neural Network (CNN) is proposed in this work. Firstly, the characteristics of the collected radar intra-pulse signals are acquired. Then, the feature images of these characteristics are preprocessed. Finally, the intelligent identification of radar intra-pulse signals based on CNN is realized. The experimental results show that when the Signal to Noise Ratio (SNR) is 5dB, the identification accuracy of algorithm model proposed in this work based on CWD and CNN can reach 87.95%, while that based on Continuous Wavelet Transform (CWT) and CNN can only reach 72.23%. The significance of this work further optimizes the feature extraction of radar intra-pulse signals and provides an empirical reference for radar intelligent identification in EW.

Citation Download Citation

Zi-Long Wu, Xiang-Xuan Huang, Meng Du, Ji-Fei Pan, and Da-Ping Bi "Intelligent identification of radar intra-pulse signals", Proc. SPIE 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 121691Z (27 March 2022); https://doi.org/10.1117/12.2622460

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