Hermitian Distance-Based Method to Discriminate Physical Targets and Active False Targets in A Distributed Multiple-Radar Architecture
Hermitian Distance-Based Method to Discriminate Physical Targets and Active False Targets in A Distributed Multiple-Radar Architecture
复制标题
分布式多雷达架构中基于厄米特距离的区分物理目标和主动虚假目标的方法
DOI:
10.1109/jsen.2019.2926414
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发表时间:
2019-11
影响因子:
4.3
通讯作者:
Hengli Yu
中科院分区:
文献类型:
--
作者:
Qiang Li;Linrang Zhang;Yu Zhou;Shanshan Zhao;Liu Nan;Juan Zhang;Hengli Yu
In a distributed multiple-radar architecture, the spatial scattering properties of targets can be utilized to counter active deception jamming effectively. When the cooperative detection is performed, the difference in spatial scattering property makes the Hermitian distance of a false target considerably different from that of a physical target. The Hermitian distance of a false target increases with the raise of jamming-to-noise ratio, whereas the one of a physical target obeys an identical Beta distribution for all signal-to-noise ratios, which leads to the former much greater than the latter, especially in high jamming-to-noise ratio. Making full use of the difference, a novel method is proposed based on the Neyman-Pearson lemma to discriminate physical and active false targets in this paper. The proposed method overcomes the dependence of the available method on the prior information about the jamming environment. What's more, the proposed method can keep a constant misjudgement probability for physical targets and discriminate targets effectively in one pulse repetition interval. The theoretical analysis and simulation verify the feasibility and validity of the proposed discrimination method.
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DOI:
10.1109/tasl.2009.2024380
发表时间:
2010-01-01
影响因子:
--
作者:
Reju, Vaninirappuputhenpurayil Gopalan;Koh, Soo Ngee;Soon, Ing Yann
通讯作者:
Soon, Ing Yann
影响因子:
1.7
作者:
Zhao Shanshan;Zhou Yu;Zhang Linrang;Guo Yumei;Tang Shiyang
通讯作者:
Tang Shiyang
影响因子:
4.3
作者:
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通讯作者:
Huang, Yongming
DOI:
10.1023/a:1012692601098
发表时间:
1999-04
期刊:
Acta Applicandae Mathematica
影响因子:
--
作者:
K. Scharnhorst
通讯作者:
K. Scharnhorst
影响因子:
22.7
作者:
MULLER, ME
通讯作者:
MULLER, ME