LPI雷达信号调制识别及参数估计研究进展

doi:10.12305/j.issn.1001-506X.2024.06.09

Abstract

Abstract:

Low probability of intercept (LPI) radar has become a key technology system or working mode of radar equipment in the new era. The study of LPI radar signal modulation recognition and parameter estimation methods has become a hot spot in the field of radar counter reconnaissance. This paper firstly analyzes the intra-pulse characteristics of several typical LPI radar signals, sorts out the traditional and mainstream methods of LPI radar signal modulation recognition and parameter estimation, and explains their principles, advantages, disadvantages and research status. Finally, the remaining problems of existing LPI radar signal modulation recognition and parameter estimation methods are summarized, and their future development trends are also pointed out, aiming to provide some reference for future scholars' research.

Key words: radar counter reconnaissance, low probability of intercept (LPI) radar signal, intra-pulse characteristic, modulation recognition, parameter estimation

CLC Number:

TN971

Haiying WANG, Qunying ZHANG, Wenhai CHENG, Jiaming DONG, Xiaojun LIU. Research progress on LPI radar signal modulation recognition and parameter estimation[J]. Systems Engineering and Electronics, 2024, 46(6): 1908-1924.

Figures/Tables 10

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Table 1

References 97

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文献	年份	神经网络输入	神经网络类型	可识别信号种类数量	SNR/dB	总体识别率/%
文献[42]	2018	CWD时频图	卷积神经网络(convolutional neural networks, CNN)	12	-6	93.58
文献[43]	2019	CWD时频图	单步多框检测器	12	-4	95.00
文献[44]	2020	CWD时频图	CNN+迁移学习	12	-6	99.00
文献[45]	2021	CWD时频图	去噪CNN	8	-10	90.00
文献[46]	2021	CWD时频图	CNN	13	0	98.60
文献[47]	2021	SPWVD时频图	密集积累网络	13	0	98.20
文献[48]	2021	CWD时频图	深度残差网络	7	-6	96.00
文献[49]	2022	CWD时频图	CNN+Swin transformer	6	-18	94.26
文献[50]	2022	WVD时频图+FSST时频图	残差网络+混洗网络	18	10	98.08
文献[51]	2022	低、中、高分辨率的STFT时频图	残差网络	16	-6	96.00
文献[52]	2022	离散傅里叶变换谱图	CNN+双向长短期记忆网络	12	-4	94.27
文献[53]	2022	CWD时频图	混洗网络	12	-2	99.36
文献[54]	2022	信号的平滑伪WVD(smoothed pseudo WVD, SPWVD)时频图	CNN+即插即用注意力模块	13	-4	99.20
文献[55]	2022	SPWVD时频图	特征压缩与激发残差网络	8	-8	93.20
文献[56]	2022	SPWVD时频图	带抗噪声损失函数的CNN	12	-10	91.17
文献[57]	2023	CWD时频图	非对称扩张卷积坐标注意力残差网络	12	-8	97.94
文献[58]	2023	WVD+WT+CWD+自适应特征	CNN	6	-13	93.00

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Research progress on LPI radar signal modulation recognition and parameter estimation

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