TY - GEN
T1 - A Novel Chaff Cloud Recognition Method Based on Wideband Polarization Radar
AU - Li, Mingling
AU - Lang, Ping
AU - Fu, Xiongjun
AU - Dong, Jian
AU - Liu, Chang
AU - Jiang, Jiahuan
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Chaff cloud recognition (CCR) is a vital anti-jamming way in modern warfare. The existing recognition methods have poor performance in complex electromagnetic environment. Therefore, in this paper, a novel convolutional neural network based CCR (CNN-CCR) method relying on wideband polarization radar is proposed. First, the chaff cloud echo is simulated at different stages, in different polarization types and sea conditions. Second, the CNN-CCR is built, whose inputs are the range profile sequences on the same range unit detected by the greatest of constant false alarm rate detector (GO-CFAR). Finally, the effectivity of our proposed method is verified by the simulated data. The experimental results show that our proposed method can effectively address the CCR in high sea conditions and high jamming-to-signal ratios (JSR).
AB - Chaff cloud recognition (CCR) is a vital anti-jamming way in modern warfare. The existing recognition methods have poor performance in complex electromagnetic environment. Therefore, in this paper, a novel convolutional neural network based CCR (CNN-CCR) method relying on wideband polarization radar is proposed. First, the chaff cloud echo is simulated at different stages, in different polarization types and sea conditions. Second, the CNN-CCR is built, whose inputs are the range profile sequences on the same range unit detected by the greatest of constant false alarm rate detector (GO-CFAR). Finally, the effectivity of our proposed method is verified by the simulated data. The experimental results show that our proposed method can effectively address the CCR in high sea conditions and high jamming-to-signal ratios (JSR).
KW - chaff cloud modeling
KW - chaff cloud recognition
KW - convolutional neural network
KW - wideband polarization radar
UR - http://www.scopus.com/inward/record.url?scp=85181110764&partnerID=8YFLogxK
U2 - 10.1109/Radar53847.2021.10028182
DO - 10.1109/Radar53847.2021.10028182
M3 - Conference contribution
AN - SCOPUS:85181110764
T3 - Proceedings of the IEEE Radar Conference
SP - 1927
EP - 1930
BT - 2021 CIE International Conference on Radar, Radar 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 CIE International Conference on Radar, Radar 2021
Y2 - 15 December 2021 through 19 December 2021
ER -