A Knowledge-Based Approach for Adaptive Beamforming
被引:0
作者:
Yu, Jing
论文数: 0引用数: 0
h-index: 0
机构:
Northwestern Polytech Univ, Sch Marine Sci & Technol, Xian 710072, Peoples R ChinaNorthwestern Polytech Univ, Sch Marine Sci & Technol, Xian 710072, Peoples R China
Yu, Jing
[1
]
Li, Ya-an
论文数: 0引用数: 0
h-index: 0
机构:
Northwestern Polytech Univ, Sch Marine Sci & Technol, Xian 710072, Peoples R ChinaNorthwestern Polytech Univ, Sch Marine Sci & Technol, Xian 710072, Peoples R China
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.