基于噪声空间加权重构的相干信号DOA估计  

DOA Estimation of Coherent Signals Based on Weighted Noise-Space Reconstruction

作　　者：王梅 陈伯孝[1] 夏金艳 胡敏 徐赛琴 WANG Mei;CHEN Baixiao;XIA Jinyan;HU Min;XU Saiqin(National Lab of Radar Signal Processing,Xi'an 710071;Xi'an Chaoshi Sensing Technology Co.,Ltd,Xi'an 710065;Aerospace Nanhu Electronic Information Technology Co.,Ltd,Jingzhou 434000,Hubei)

机构地区：[1]西安电子科技大学雷达信号处理重点实验室,西安710071 [2]西安超视传感技术有限公司,西安710065 [3]航天南湖电子信息技术股份有限公司,湖北荆州434000

出　　处：《火控雷达技术》2023年第4期10-15,36,共7页Fire Control Radar Technology

基　　金：国家自然科学基金(61971323)。

摘　　要：针对传统相干信号DOA估计算法在低信噪比、少快拍数以及阵列通道幅相误差下存在的角度分辨力差和测角性能不稳定问题,本文提出一种基于噪声空间加权重构的相干信号DOA估计算法。该算法首先利用共轭重构对阵列接收信号协方差矩阵作解相干处理;然后在信源大致方位内对导向矢量作定积分,计算积分矢量与整个噪声子空间正交基矢量的交空间基矢量,并以此对噪声子空间进行加权;最后运用加权重构后的噪声子空间建立算法空间谱函数,谱峰搜索估计得目标的DOA。计算机仿真结果表明,本文所提算法易实现低信噪比、少快拍数以及通道幅相误差下相干信号的DOA估计。To address the problems of poor angular resolution and unstable angle measurement performance of the conventional coherent signal DOA estimation algorithms under conditions of low signal-to-noise ratio,few snapshots,and amplitude-phase error of array channels,this paper proposes a coherent signal DOA estimation algorithm based on weighted noise-space reconstruction.The proposed algorithm first uses conjugate reconstruction for decoherence of the covariance matrix of the received signal of the array.Then a definite integration of the steering vector is made in the approximate orientation of the source.The intersection space basis vector of the integration vector and the orthogonal basis vector of the whole noise subspace is calculated,based on which the noise subspace is weighted.Finally,the reconstructed noise subspace is used to establish an algorithm spatial spectrum function,and the target DOA is estimated through spectrum peak search.The simulation results show that the proposed algorithm can easily achieve the DOA estimation of coherent signals under conditions of low signal-to-noise ratio,few snapshots,and amplitude-phase error of array channels.

关 键 词：相干信号 DOA估计 噪声空间 加权重构 

分 类 号：TN95[电子电信—信号与信息处理] TN911.7[电子电信—信息与通信工程]