基于DAE-GAN网络的LPI雷达信号增强

doi:10.12305/j.issn.1001-506X.2021.09.16

Abstract

Abstract:

Aiming at the problem that the non-cooperative reconnaissance receiver can carry out subsequent detection and recognition only after noise reduction, combining the advantages of noise reduction self encoder and generating countermeasure network, the noise enhancement network and signal enhancement network are constructed for countermeasure training. The noise enhancement network adulterates more complex noise components into the noisy signal, and the signal enhancement network reduces the noise components of the noisy signal as much as possible. In the process of confrontation training, the ability of noise enhancement network to generate complex high-dimensional noise and the ability of signal enhancement network to reduce noise are improving. After the training, the signal enhancement network has better noise reduction performance, which reduces the difficulty of subsequent detection and recognition.

Key words: low probability of intercept (LPI) radar, generative adversarial networks (GAN), denoising autoencoder, signal enhancement

CLC Number:

TN971.1

Pengyu CAO, Chengzhi YANG, Limeng SHI, Hongchao WU. LPI radar signal enhancement based on DAE-GAN network[J]. Systems Engineering and Electronics, 2021, 43(9): 2493-2500.

Figures/Tables 14

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Table 1

References 34

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算法	SNIR/dB
算法	-20	-15	-10	-5	0
文献[17]	19.68	14.97	9.53	6.67	4.91
文献[18]	17.44	16.83	14.32	11.45	14.45
文献[19]	11.39	11.18	12.92	11.43	14.35
文献[28]	22.01	25.31	27.21	33.01	34.51
本文	24.21	29.41	31.32	34.65	37.82

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LPI radar signal enhancement based on DAE-GAN network

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