刘子威¹,
赵珊珊^2,,,
杨彪²,
易民举²
1.南京邮电大学通信与信息工程学院 南京 210042
2.南京邮电大学电子与光学工程学院 南京 210023
基金项目:国家自然科学基金(61801233, 61801445)，江苏省自然科学基金(BK20170911)，航空科学基金(202000200X9001, 202000200X9002)

详细信息

作者简介:刘子威：男，1989年生，讲师，研究方向为雷达信号处理、雷达自适应抗干扰技术和阵列信号处理
赵珊珊：女，1989年生，讲师，研究方向为多站雷达信号融合技术、多站雷达协同抗干扰技术、雷达通信一体化技术
杨彪：男，1998年生，硕士生，研究方向为雷达信号处理、雷达通信一体化技术
易民举：男，1997年生，硕士生，研究方向为雷达信号处理、多站雷达协同抗干扰技术

通讯作者:赵珊珊　zhaoshanshan025@163.com

中图分类号:TN973

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文章访问数:153
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被引次数:0

出版历程

收稿日期:2021-02-18
修回日期:2021-09-10
网络出版日期:2021-09-30
刊出日期:2021-11-23

Clustering Method to Discriminate Active False Targets in Multistatic Radar System

Ziwei LIU¹,
Shanshan ZHAO^2,,,
Biao YANG²,
Minju YI²
1. College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210042, China
2. College of Electronic and Optical Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210023, China
Funds:The National Natural Science Foundation of China (61801233, 61801445), The Natural Science Foundation of Jiangsu Province (BK20170911), The Aeronautical Science Foundation of China (202000200X9001, 202000200X9002)


摘要
摘要:针对现有多基地雷达抗欺骗式干扰方法无法应用于多干扰源的问题，该文提出一种基于聚类分析的多基地雷达鉴别有源假目标方法，利用真假目标接收信号矢量之间相关性的差异，以相关系数为度量，通过聚类分析方法，将相同干扰源产生的假目标聚为一类，每个真实目标各为一类，实现有源假目标的有效鉴别。该方法可用于鉴别任意欺骗调制方式产生的有源假目标，且适用于多个干扰源实施分布式干扰的应用场景。最后，通过仿真实验，验证了所提聚类分析方法鉴别有源假目标的有效性。
关键词:雷达抗干扰/
多基地雷达/
欺骗式干扰/
有源假目标鉴别/
聚类分析
Abstract:The available deception anti-jamming methods in multistatic radar can not be applied to multiple jamming sources. In view of this problem, a clustering analysis-based method is proposed to discriminate active false targets in multistatic radar, according to the differences in the correlation between the received signal vectors of true and false targets. Measured by the correlation coefficient in clustering analysis method, the false targets generated by the same jamming source are grouped into one cluster, while each true target constitutes one singleton cluster, achieving the effective discrimination of active false targets. The proposed method can be used to discriminate active false targets generated by any deception modulation mode and is suitable for the application of distributed jamming with multiple jamming sources. Finally, the effectiveness of the clustering analysis method to discriminate active false targets is verified through simulation experiments.
Key words:Radar electronic counter-countermeasures/
Multistatic radar/
Deception jamming/
Discrimination of active false targets/
Clustering analysis



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