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Journal of Projectiles, Rockets, Missiles and Guidance >

2021 , Vol. 41 >Issue 3: 25 - 30

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2021.03.006

Algorithm of Specific Radar Emitter Identification Based on Few-shot Learning

  • DING Chenwei 1 ,
  • SUN Minhong 1 ,
  • GUAN Youlian 2
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  • 1 School of Communication Engineering, Hangzhou Dianzi University,Hangzhou 310000, China
  • 2 No.75798 Unit, Beijing 100089, China

Received date: 2019-12-21

  Online published: 2025-02-20

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Abstract

To solve the problem of specific radar emitter identification (SREI), an algorithm of SREI based on feature enhancement and generative adversarial networks is proposed, and the experiments based on real acquisition signals are carried out. The experimental results show that the identification performance of the proposed algorithm is obviously improved after the feature enhancement, and the histogram equalization feature enhancement method has the best performance. The recognition performance has averagely 9 dB better than that of the algorithm without feature enhancement. After adding SCGAN, the recognition performance of the algorithm is improved by 15 dB on average, and the number of samples needed is reduced by 75%.

Key words： special emitter identification; convolutional neural network; sparse auto-encoder; generative adversarial network; feature enhancement

Cite this article

DING Chenwei , SUN Minhong , GUAN Youlian . Algorithm of Specific Radar Emitter Identification Based on Few-shot Learning[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2021 , 41(3) : 25 -30 . DOI: 10.15892/j.cnki.djzdxb.2021.03.006

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