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
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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
Hengli Yu
中科院分区:
综合性期刊2区
文献类型:
--
作者:
Qiang Li;Linrang Zhang;Yu Zhou;Shanshan Zhao;Liu Nan;Juan Zhang;Hengli Yu

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在分布式多雷达体系结构中,利用目标的空间散射特性可以有效地对抗主动欺骗干扰。在进行协同探测时,由于空间散射特性的差异,使得假目标的厄米距离与物理目标的厄米距离存在较大差异。假目标的厄米距离随着信噪比的增大而增大,而物理目标的厄米距离在所有信噪比下服从相同的Beta分布,这导致前者远大于后者,特别是在高信噪比下。本文充分利用这一差异,提出了一种基于内曼-皮尔逊引理的物理假目标和活动假目标鉴别方法。该方法克服了现有方法对干扰环境先验信息的依赖。该方法对物理目标保持一定的误判概率,能在一个脉冲重复间隔内有效识别目标。理论分析和仿真验证了该判别方法的可行性和有效性。
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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