基于先验信息的协方差矩阵重构抗干扰算法  

Anti-interference Algorithm Based on Covariance Matrix Reconstruction Via Prior Information

作　　者：潘帅[1] 张永顺[1,2] 苏于童 龙振国 PAN Shuai;ZHANG Yong-shun;SU Yu-tong;LONG Zhen-guo(School of Air and Missile Defense,Air Force Engineering University,Xi’an 710051,China;Collaborative Innovation Center of Information Sensing and Understanding,Xi’an 710077,China;Xi’an Jiaotong University,Xi’an 710049,China;Unit 95100 of PLA,Guangzhou 510000,China)

机构地区：[1]空军工程大学防空反导学院 [2]信息感知技术协同创新中心 [3]西安交通大学数学与统计学院 [4]解放军95100部队

出　　处：《火力与指挥控制》2018年第9期61-64,70,共5页Fire Control & Command Control

基　　金：国家自然科学青年基金资助项目(61501501)

摘　　要：针对样本数较少情况下信号和干扰同时存在时,采样协方差矩阵包含目标信号引起信号自消,无法替代真实干扰噪声协方差矩阵的问题,提出了一种重构干扰噪声协方差矩阵的自适应波束形成方法,利用空间谱重构出与期望信号无关的干扰噪声协方差矩阵,提高协方差矩阵的准确度,依据重构的协方差矩阵结合阻塞矩阵完成主瓣干扰的抑制处理。仿真结果表明,所提方法相比于基于采样协方差矩阵方法,提高了输出信干噪比,更接近于最优值。In this paper,an adaptive beamforming method is proposed based on interference-noise covariance matrix reconstruction to deal with the problem of the sampling covariance matrix cannot be used as a real interference noise covariance matrix with fewer samples because of it contains the target signal cause the signal to cancel at the same time of the signal and interference are present.The spatial spectral is used to reconstruct the interference-noise covariance matrix which is independent of the expected signal to improve the accuracy of covariance matrix.The mainlobe interference can be suppressed by combining the blocking matrix according to the reconstructed covariance matrix.The simulation results demonstrate that there is a certain improvement in the SNIR,compared with the sampling covariance matrix method,which is almost close to optimal value.

关 键 词：干扰噪声协方差矩阵 自适应波束形成 空间谱估计 主瓣干扰 

分 类 号：TN911[电子电信—通信与信息系统]