A Radar Signal Recognition Method Based on Dilated Residual Network

CHEN Lin; TANG Jun; YU Yue; ZHANG Xuyang

doi:10.3969/j.issn.1671-637x.2023.01.017

[7] QU Z Y, HOU C F, HOU C B, et al.Radar signal intra-pulse modulation recognition based on convolutional neural network and deep Q-learning network［J］.IEEE Access, 2020, 8:49125-49136.

[10] YU F, KOLTUN V, FUNKHOUSER T.Dilated residual networks［C］//IEEE Conference on Computer Vision and Pattern Recognition (CVPR).Honolulu, HI:IEEE, 2017:636-644.

[11] LI J, ZHANG H Q, OU J P, et al.A multipulse radar signal recognition approach via HRF-Net deep learning models［J］.Computational Intelligence and Neuroscien-ce, 2021, 2021.doi:10.1155/2021/9955130.

[12] LI D J, YANG R J, LI X B, et al.Radar signal modulation recognition based on deep joint learning［J］.IEEE Access, 2020, 8:48515-48528.

[13] XIAO Y H, LIU W J, GAO L P.Radar signal recognition based on transfer learning and feature fusion［J］.Mobile Networks and Applications, 2020, 25(4):1563-1571.

[16] HE K M, ZHANG X Y, REN S Q, et al.Deep residual learning for image recognition［C］//IEEE Conference on Computer Vision and Pattern Recognition (CVPR).Las Vegas, NV:IEEE, 2016:770-778.

[18] YU F, KOLTUN V.Multi-scale context aggregation by dilated convolutions［C］//International Conference on Learning Representations (ICLR).Puerto Rico:ICLR, 2016:1-9.