微型机与应用2016，Vol.35Issue(23)：62-64,68,4.DOI:10.19358/j.issn.1674-7720.2016.23.018
基于干扰加噪声协方差矩阵重构的稳健自适应波束形成
Robust adaptive beamforming based on interference-plus-noise covariance matrix reconstruction
王宁章 1闵仁江 1许慧青1
作者信息
- 1. 广西大学计算机与电子信息学院，广西南宁530004
- 折叠
摘要
Abstract
In adaptive beamforming, due to the mismatch of signal of interest (SOI) steering vector (SV), inefficiency of training data and the presence of the SOI components in the training data , the performance of classical beamformers may be considerably degraded .To deal with these problems, a robust beamforming method is proposed in this paper .Firstly,the MUSIC algorithm and parametric estimate are used to re-construct the interference-plus-noise covariance matrix which does not contain SOI .With the constructed interference-plus -noise matrix, the estimated SV is achieved by calculating the correlation coefficient .Simulation results demonstrate the proposed algorithm can deal with the large direction errors , and also be able to achieve relatively better performance in a large range of the signal -to-noise ratio ( SNR) .关键词
自适应波束形成/MUSIC算法/导向矢量估计Key words
adaptive beamforming/MUSIC algorithm/steering vector estimation分类
电子信息工程引用本文复制引用
王宁章,闵仁江,许慧青..基于干扰加噪声协方差矩阵重构的稳健自适应波束形成[J].微型机与应用,2016,35(23):62-64,68,4.
