A Knowledge-Based Approach for Adaptive Beamforming

被引:0
作者
Yu, Jing [1 ]
Li, Ya-an [1 ]
机构
[1] Northwestern Polytech Univ, Sch Marine Sci & Technol, Xian 710072, Peoples R China
来源
INTERNATIONAL CONFERENCE ON ELECTRICAL AND ELECTRONIC ENGINEERING (EEE 2014) | 2014年
关键词
Adaptive beamforming; Knowledge-based signal processing; Covariance matrix; Eigen-decomposition;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A knowledge-based adaptive beamforming approach that is robust to low sample support environment is proposed. In this algorithm the covariance matrix used to calculate the optimum weights is constructed by blending a sample covariance matrix and a priori structured covariance matrix. Numerical examples demonstrate the proposed algorithm has the advantages over the standard Capon beamformers.
引用
收藏
页码:151 / 155
页数:5
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