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基于波束域分塊RDLMS的機載外輻射源雷達雜波對消算法

楊鵬程 呂曉德 劉宇 柴致海 張丹

楊鵬程, 呂曉德, 劉宇, 柴致海, 張丹. 基于波束域分塊RDLMS的機載外輻射源雷達雜波對消算法[J]. 電子與信息學報, 2017, 39(4): 960-967. doi: 10.11999/JEIT160595
引用本文: 楊鵬程, 呂曉德, 劉宇, 柴致海, 張丹. 基于波束域分塊RDLMS的機載外輻射源雷達雜波對消算法[J]. 電子與信息學報, 2017, 39(4): 960-967. doi: 10.11999/JEIT160595
YANG Pengcheng, Lü Xiaode, LIU Yu, CHAI Zhihai, ZHANG Dan. Clutter Cancellation Algorithm for Airborne Passive Radar Based on Block RDLMS in Beam Domain[J]. Journal of Electronics & Information Technology, 2017, 39(4): 960-967. doi: 10.11999/JEIT160595
Citation: YANG Pengcheng, Lü Xiaode, LIU Yu, CHAI Zhihai, ZHANG Dan. Clutter Cancellation Algorithm for Airborne Passive Radar Based on Block RDLMS in Beam Domain[J]. Journal of Electronics & Information Technology, 2017, 39(4): 960-967. doi: 10.11999/JEIT160595

基于波束域分塊RDLMS的機載外輻射源雷達雜波對消算法

doi: 10.11999/JEIT160595 cstr: 32379.14.JEIT160595

Clutter Cancellation Algorithm for Airborne Passive Radar Based on Block RDLMS in Beam Domain

  • 摘要: 針對機載外輻射源雷達多普勒展寬的雜波對消問題,該文首先從降低計算量的角度出發(fā),提出了波束域分塊RDLMS算法。通過波束形成降低了多普勒維對消階數(shù),通過分塊減小了迭代次數(shù)并可以利用FFT快速實現(xiàn)。分析表明,所提算法能夠大幅降低雜波對消的計算量,為實時處理提供了支撐。其次,在處理性能方面,由于算法對所有濾波器系數(shù)采用相同的步長,當雜噪比較高時會有較大的對消殘余;根據(jù)系數(shù)比例自適應算法的思想,該文提出了改進算法,對不同的濾波器系數(shù)采用不同的步長,步長的大小與濾波器系數(shù)的對數(shù)成正比。仿真表明,改進算法使雜波對消殘余降低了1.3 dB,對消性能接近理想。
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出版歷程
  • 收稿日期:  2016-06-03
  • 修回日期:  2016-10-26
  • 刊出日期:  2017-04-19

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