Laser & Optoelectronics Progress, Volume. 59, Issue 22, 2228007(2022)

Radar Emitter Signal Recognition Based on Convolutional Bidirectional Long- and Short-Term Memory Network

Yunwei Pu1,2、*, Taotao Liu1, Haixiao Wu1, and Jiang Guo1
Author Affiliations
  • 1Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, Yunnan, China
  • 2Computer Center, Kunming University of Science and Technology, Kunming 650500, Yunnan, China
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    Figures & Tables(10)
    Comparison of main ridge sections of six radar signals. (a) 20 dB; (b) 0 dB
    Polar coordinate AFMR face ratio of six types of signals. (a) 20 dB; (b) 0 dB
    Basic structure of CNN
    LSTM network structure
    Bi_LSTM network structure
    Polar coordinate AFMR aspect recognition algorithm based on CNN_Bi_LSTM
    Comparison of recognition rate between the proposed method and manual methods
    Comparison of recognition rate between the proposed method and other deep learning methods
    • Table 1. Experimental results of different network structures

      View table

      Table 1. Experimental results of different network structures

      NumberStructureLoss
      13CNN+1Bi_LSTM0.2743
      24CNN+1Bi_LSTM0.2026
      35CNN+1Bi_LSTM0.3030
      43CNN+2Bi_LSTM0.2865
      54CNN+2Bi_LSTM0.2633
      65CNN+2Bi_LSTM0.3255
    • Table 2. Recognition rate of different classification methods

      View table

      Table 2. Recognition rate of different classification methods

      NumberMethodRecognition rate /%Time of an epoch /s
      -6 dB-4 dB-2 dB0 dB2 dB
      1Proposed method93.5896.8899.83100159
      2One-dimensional AFMR+LSTM85.1293.2496.2799.251165
      3One-dimensional AFMR+SAE82.3396.8398.8399.55196
      4One-dimensional AFMR+Bi_LSTM86.1294.5795.6399.421462
      5Two-dimensional AFMR+CNN93.1796.3399.50100185
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    Yunwei Pu, Taotao Liu, Haixiao Wu, Jiang Guo. Radar Emitter Signal Recognition Based on Convolutional Bidirectional Long- and Short-Term Memory Network[J]. Laser & Optoelectronics Progress, 2022, 59(22): 2228007

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Aug. 16, 2021

    Accepted: Sep. 16, 2021

    Published Online: Oct. 26, 2022

    The Author Email: Pu Yunwei (puyunwei@126.com)

    DOI:10.3788/LOP202259.2228007

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