Adaptive Beamforming with Inadequate Snapshots

2016 International Conference on Communication, Image and Signal Processing

物理学;无线电电子学;计算机科学

Yu, Jing^1 ; Li, Yaan^1

School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an, China^1

关键词: Adaptive Beamforming;    Adaptive weights;    Array signal processing;    Environmental knowledge;    Performance improvements;    Sample covariance matrix;    Structured covariance;    Support environment;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/787/1/012025/pdf
DOI  :  10.1088/1742-6596/787/1/012025

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

In array signal processing, the covariance matrix used to calculate the adaptive weights is often poor estimated when the snapshot number is inadequate. The prior environmental knowledge can be used to make the estimation more accuracy. In this paper, an alternative knowledge-aided 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 simulations demonstrate the proposed algorithm has the potential for substantial performance improvement.