A Radar Jamming Perception Method Based on Residual Neural Network and Attention Mechanism

LANG Bin; GONG Jian; CHEN Geng

doi:10.3969/j.issn.1671-637x.2022.09.011

[3] ZHAO BHUANG LHE C Let al.SAR deception jamming identification via differential feature enhancement［C］//CIE International Conference on Radar.Guangzhou:IEEE2016.doi:10.1109/RADAR.2016.8059174.

[5] LIU Y MXING S QLI Y Zet al.Jamming recognition method based on the polarisation scattering characteristics of chaff clouds［J］.IET RadarSonar & Navigation2017 11(11):1689-1699.

[8] LIU QZHANG W.Deep learning and recognition of radar jamming based on CNN［C］//International Symposium on Computational Intelligence and Design.Hangzhou:ISCID 2019.doi:10.1109/ISCID.2019.00054.

[9] SHAO G QCHEN Y SWEI Y S.Deep fusion for radar jamming signal classification based on CNN ［J］.IEEE Access20208:117236-117244.

[10] 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.Las Vegas:IEEE2016.doi:10.1109/CVPR.2016.09.

[11] PAN S JYANG Q.A survey on transfer learning［J］.IEEE Transactions on Knowledge and Data Engineering201022(10):1345-1359.

[12] SHAO LZHU FLI X L.Transfer learning for visual cate-gorization:a survey［J］.IEEE Transactions on Neural Networks and Learning Systems201526(5):1019-1034.

[15] HU JSHEN LALBANIE Set al.Squeeze-and-excitation networks［J］.IEEE Transactions on Pattern Analysis and Machine Intelligence202042(8):2011-2023.

[16] SUMAIYA M NKUMARI R S S.Logarithmic mean-based thresholding for SAR image change detection［J］.IEEE Geoscience and Remote Sensing Letters201613(11):1726-1728.