子阵域盲源分离应用于主瓣抗干扰算法研究  

Research on Blind Source Separation in Subarray Domain Applied to Anti-Main Lobe Jamming Algorithm

作　　者：贾振宇 匡华星[1] JIA Zhen-yu;KUANG Hua-xing(No.724 Research Institute of CSIC,Jiangsu Nanjing 211106,China)

机构地区：[1]中国船舶重工集团公司第七二四研究所,江苏南京211106

出　　处：《现代防御技术》2022年第4期132-139,共8页Modern Defence Technology

基　　金：海军预研课题(3020104080503)。

摘　　要：阵列雷达的主瓣干扰抑制是雷达抗干扰领域的一个难题。提出了一种基于子阵域的盲源分离主瓣抗干扰算法。该算法以特征矩阵近似联合对角化(joint approximate diagonalization of eigen-matrices,JADE)盲源分离算法为基础,与传统的全向阵列算法相比,该算法提供了较低的复杂度,尤其是针对大型阵列时,算法的优势更加显著。其设计思路是先将全向阵列划分到子阵域;然后在子阵域的基础上利用多重信号分类和恒虚警检测,设计了一种新的盲源分离信道数预估计方法,为JADE提供先验信息;最后设定盲源分离通道数,使接收信号分离,并将分离信号分别进行脉冲压缩、信号检测等步骤,从而达到雷达主瓣抗干扰的目的。通过仿真分析可知,该方法可以实现目标信号和干扰信号的有效分离,且计算量对比全向阵列有显著降低,具有一定的工程应用前景。The main lobe jamming suppression of array radar is a difficult problem in the field of radar anti-jamming.This paper proposes a blind source separation main lobe anti-jamming algorithm in sub-array domain based on joint approximate diagonalization of eigen-matrices(JADE)blind source separation.The algorithm provides lower complexity compared to the traditional omnidirectional array algorithm,especially for large arrays.The omnidirectional array is divided into subarray domain.A new blind source separation channel number pre-estimation method is designed on the basis of subarray domain using multiple signal classification(MUSIC)and constant false alarm rate(CFAR)to provide prior information for JADE.The separated signals are processed pulse compression and signal detection to achieve radar main lobe anti-jamming.Simulation analysis shows that the method can effectively demonstrate the separation of target signal and jamming signal,and the calculation amount is significantly reduced compared with the omnidirectional array,which has a certain engineering application prospects.

关 键 词：盲源分离 信源数估计 特征矩阵近似联合对角化 子阵域 雷达主瓣抗干扰 波束形成 

分 类 号：TN973[电子电信—信号与信息处理] TP391.9[电子电信—信息与通信工程] TJ0[自动化与计算机技术—计算机应用技术]