Intelligent classification and identification of radar jamming signals

Dongxia Li; Yahui Shi; Yangdong Sun; Bin Zhang

doi:10.1117/12.2667248

28 March 2023 Intelligent classification and identification of radar jamming signals

Dongxia Li, Yahui Shi, Yangdong Sun, Bin Zhang

Proceedings Volume 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022); 1256603 (2023) https://doi.org/10.1117/12.2667248
Event: Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 2022, Chongqing, China

Abstract

Aiming at the problem of intelligent classification and recognition of radar jamming signals, the convolutional neural network structure is studied. By optimizing the basic network, the normalization layer and activation layer is added to the LENET-5 structure to improve the accuracy of recognition results. The linear frequency modulation signal and amplitude modulation interference, frequency modulation interference, comb spectrum interference, slice reconstruction interference, intermittent sampling and forwarding interference are analyzed. Six signal models are used to generate data sets, and intelligent methods are adopted to realize classification and recognition.

Citation Download Citation

Dongxia Li, Yahui Shi, Yangdong Sun, and Bin Zhang "Intelligent classification and identification of radar jamming signals", Proc. SPIE 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 1256603 (28 March 2023); https://doi.org/10.1117/12.2667248

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