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Volume 43 Issue 9
Sep.  2021
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Penghui HUANG, Zihao ZOU, Xingzhao LIU, Guisheng LIAO, Zhicheng WANG, Junli CHEN, Yanyang LIU. Robust Sea Clutter Suppression Method for Multichannel Airborne Radar[J]. Journal of Electronics & Information Technology, 2021, 43(9): 2680-2687. doi: 10.11999/JEIT200411
Citation: Penghui HUANG, Zihao ZOU, Xingzhao LIU, Guisheng LIAO, Zhicheng WANG, Junli CHEN, Yanyang LIU. Robust Sea Clutter Suppression Method for Multichannel Airborne Radar[J]. Journal of Electronics & Information Technology, 2021, 43(9): 2680-2687. doi: 10.11999/JEIT200411

Robust Sea Clutter Suppression Method for Multichannel Airborne Radar

doi: 10.11999/JEIT200411
Funds:  The National Key R&D Program of China (2017YFB0502700), The National Natural Science Younth Foundation of China (61801289), The Shanghai Space Science and Technology Innovation Fund (SAST2019-071)
  • Received Date: 2020-05-26
  • Rev Recd Date: 2020-12-10
  • Available Online: 2021-01-05
  • Publish Date: 2021-09-16
  • During the marine moving target detection for airborne early warning radar, the high-speed movement of the radar platform causes the serious broadening of the sea clutter Doppler spectrum, which affects the target detection performance. To solve this problem, a clutter suppression method called Space-Time Adaptive Processing (STAP) is effective, which exploits the space-time coupling characteristics of clutter. However, compared with the land clutter, the motion characteristics of sea clutter lead to the broadening of the clutter space-time spectrum, resulting in the clutter Doppler frequency and the spatial cone angle no longer maintaining a one-to-one correspondence; thus the clutter suppression performance significantly degrades. According to the motion characteristics of sea clutter, a robust subspace projection method is proposed in this paper. This method improves the robustness of clutter suppression by using the adaptive notch broadening technique and the filter then adapt technique. Finally, the effectiveness of this method is verified through the simulation results and the real-measured sea clutter data.
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