• Laser & Optoelectronics Progress
  • Vol. 59, Issue 22, 2228007 (2022)
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
  • show less
    DOI: 10.3788/LOP202259.2228007 Cite this Article Set citation alerts
    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 Copy Citation Text show less
    Comparison of main ridge sections of six radar signals. (a) 20 dB; (b) 0 dB
    Fig. 1. 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
    Fig. 2. Polar coordinate AFMR face ratio of six types of signals. (a) 20 dB; (b) 0 dB
    Basic structure of CNN
    Fig. 3. Basic structure of CNN
    LSTM network structure
    Fig. 4. LSTM network structure
    Bi_LSTM network structure
    Fig. 5. Bi_LSTM network structure
    Polar coordinate AFMR aspect recognition algorithm based on CNN_Bi_LSTM
    Fig. 6. Polar coordinate AFMR aspect recognition algorithm based on CNN_Bi_LSTM
    Comparison of recognition rate between the proposed method and manual methods
    Fig. 7. Comparison of recognition rate between the proposed method and manual methods
    Comparison of recognition rate between the proposed method and other deep learning methods
    Fig. 8. Comparison of recognition rate between the proposed method and other deep learning methods
    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 1. Experimental results of different network structures
    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
    Table 2. Recognition rate of different classification methods
    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
    Download Citation