Laser & Optoelectronics Progress, Volume. 59, Issue 22, 2228007(2022)
Radar Emitter Signal Recognition Based on Convolutional Bidirectional Long- and Short-Term Memory Network
Fig. 1. Comparison of main ridge sections of six radar 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
Fig. 3. Basic structure of CNN
Fig. 4. LSTM network structure
Fig. 5. Bi_LSTM network structure
Fig. 6. Polar coordinate AFMR aspect recognition algorithm based on CNN_Bi_LSTM
Fig. 7. Comparison of recognition rate between the proposed method and manual methods
Fig. 8. Comparison of recognition rate between the proposed method and other deep learning methods
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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
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)