基于GCI融合的分布式雷达抗欺骗干扰算法  

GCI Fusion-Based Anti-Deception Jamming Algorithm for Distributed Radar

作　　者：朱永锋[1] 达凯 杨烨 Zhu Yongfeng;Da Kai;Yang Ye(National Key Laboratory of Science and Technology on ATR,National University of Defense Technology,Changsha 410073,China)

机构地区：[1]国防科技大学ATR重点实验室,长沙410073

出　　处：《航空兵器》2022年第4期58-63,共6页Aero Weaponry

摘　　要：针对分布式雷达抗多假目标欺骗干扰问题,提出了一种基于数据级融合的抗干扰算法。首先,利用基于随机有限集的集势概率假设密度(Cardinalized Probability Hypothesis Density,CPHD)滤波器同时跟踪真实目标与假目标;然后,对于非协同假目标,根据其在分布式雷达检测中类似于虚警的性质,采用具有迫零特性的广义协方差交叉(Generalized Covariance Intersection,GCI)融合方法,在融合过程中实现干扰抑制;最后,对于协同假目标,引入雷达被动工作模式,采用一致性算法结合GCI方法进行分布式融合,达到了全局鉴假效果。仿真结果表明,在分布式雷达网络中,所提算法可以剔除非协同和协同假目标,并能有效跟踪真实目标。Aiming at the anti-jamming problem of distributed radar against multiple false targets,an anti-jamming algorithm based on data level fusion is proposed.Firstly,the cardinalized probability hypothesis density(CPHD)filter based on random finite set is used to track real target and false target at the same time.Then,for the non-cooperative false target,according to its nature similar to false alarm in distributed radar detection,the generalized covariance intersection(GCI)fusion method with zero forcing characteristics is adopted to suppress the interference in the fusion process.Finally,for the cooperative false target,the radar passive working mode is introduced,and the consistency algorithm combined with GCI method is used for distributed fusion to achieve the global false target elimination effect.Simulation results show that the proposed algorithm can eliminate non-cooperative and cooperative false targets,and can track real targets effectively in distributed radar network.

关 键 词：分布式雷达 抗欺骗干扰 目标跟踪 GCI融合 CPHD滤波器 

分 类 号：TJ760[兵器科学与技术—武器系统与运用工程] TN957[电子电信—信号与信息处理]