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Robust and Efficient Adaptive Beamforming Using Nested Subarray Principles

Authors :
Zhi Zheng
Tong Yang
Di Jiang
Wen-Qin Wang
Source :
IEEE Access, Vol 8, Pp 4076-4085 (2020)
Publication Year :
2020
Publisher :
IEEE, 2020.

Abstract

In this paper, we propose an adaptive beamforming algorithm for large uniform linear arrays (ULAs), where only a nested subarray is utilized to calculate the beamforming coefficients for the original ULA. In this algorithm, the steering vectors and powers of the signal-of-interest (SOI) and interferences are firstly estimated using the Capon spatial spectrum and known array structure, and the interference-plus-noise covariance matrix (INCM) is then constructed. Subsequently, an augmented INCM is formed via vectorization and spatial smoothing operations. Finally, the beamformer weight vector is determined by the augmented INCM and the estimated SOI steering vector. Our proposed algorithm exploits the enhanced degrees of freedom of the nested array, and thus can be applied to a large ULA to reduce the implementation complexity. Moreover, it fundamentally eliminates the SOI component. Numerical results demonstrate that the proposed algorithm performs better than the existing approaches.

Details

Language :
English
ISSN :
21693536
Volume :
8
Database :
Directory of Open Access Journals
Journal :
IEEE Access
Publication Type :
Academic Journal
Accession number :
edsdoj.5ac3a7cecada459fb4e8b9a9942680b1
Document Type :
article
Full Text :
https://doi.org/10.1109/ACCESS.2019.2963356