基于协方差矩阵重构的稳健波束形成算法  

Robust Adaptive Beamforming Algorithm Based on Covariance Matrix Reconstruction

作　　者：郭业才[1,2] 陈晨 胡国乐 GUO Yecai;CHEN Chen;HU Guole(College of Electronic and Information Engineering,Nanjing University of Information Science and Technology,Nanjing 210044,China;Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology,Nanjing 210044,China;School of Electrical Engineering and Automation,Anhui University,Hefei 230601)

机构地区：[1]南京信息工程大学电子与信息工程学院,南京210044 [2]江苏省大气环境与装备技术协同创新中心,南京210044 [3]安徽大学电气工程与自动化学院,合肥230601

出　　处：《实验室研究与探索》2020年第3期1-5,共5页Research and Exploration In Laboratory

基　　金：国家自然科学基金项目(61673222,61371131);江苏省高校自然科学研究重大项目(13KJA510001);江苏高校品牌专业建设项目(PPZY2015B134);江苏省教育教学改革项目(2017JSJG168)。

摘　　要：当期望信号导向矢量失配以及采样协方差矩阵中包含期望信号时,传统自适应波束形成器性能会下降。对此问题,提出了一种基于协方差矩阵重构的稳健波束形成算法。该算法首先通过对期望信号和干扰的大致来波方向范围进行积分以估计出导向矢量,然后利用主模式抑制去除信号间多余的相干性,并重构出最终的协方差矩阵。仿真实验表明,该算法提高了期望信号导向矢量失配时的稳健性,降低了对快拍数的敏感性。A robust beamforming algorithm based on covariance matrix reconstruction is proposed to solve the problem of mismatch of steering vectors of desired signals and the performance degradation of traditional adaptive beamforming when the sampling covariance matrix contains desired signals.In this proposed algorithm,firstly,the steering vector is estimated by integral method based on the approximate direction range of the desired signal and interference,then the redundant coherence between signals is removed by using the main mode suppression,and the final covariance matrix is reconstructed.The simulation results show that the proposed algorithm improves the robustness of the desired signal steering vector mismatch and reduces the sensitivity to the number of snapshots.

关 键 词：协方差矩阵重构 稳健波束形成 导向矢量估计 空间谱估计 

分 类 号：TP[自动化与计算机技术]