分布式雷达多域张量分解抗复合干扰方法

Joint multi-domain tensor decomposition method for compound jamming in distributed radars

针对分布式雷达抗干扰问题,利用信号的多域信息,提出一种基于极化-空-时域联合处理的抗复合干扰方法。建立一发多收的分布式极化阵列雷达系统模型,根据接收信号的极化-空-时域特性,将其重构成一个三阶张量,进而利用张量的标准分解对目标回波信号和干扰信号进行分离,从而实现压制与灵巧干扰的抑制;然后利用真目标位置信息及速度信息的唯一性,通过多站点联合定位实现对欺骗干扰的抑制,同时估计目标的位置坐标与速度矢量。数值仿真实验验证了所提算法的有效性。

Aiming at the problem of jamming suppression in distributed radars,a joint polarization-spatial-temporal domain processing method is proposed for compound jamming in distributed radars.Firstly,a distributed polarization array radar system model of single-transmitter multiple-receiver is established.Secondly,the received signal is reconstructed into a third-order tensor according to its polarization-spatial-temporal characteristics.Furthermore,tensor decomposition is employed to separate the target echo from jamming signals,so as to realize the suppression of blanket jamming and smart jamming.Then,by using the uniqueness of the position and velocity information of the real target,the deception jamming is suppressed by joint positioning of multiple sites,while the position coordinates and velocity vectors of the target are estimated in the meantime.Finally,the effectiveness of the proposed algorithm is verified by numerical simulation experiments.