Robust adaptive beamforming based on sparse reconstruction using a non-convex optimisation algorithm

A novel robust adaptive beamforming technique is proposed to solve the problem of performance degradation with one single snapshot. A sparse signal recovery model under the non-convex optimisation framework is first established, which dispenses with the mismatched sample covariance matrix, an indisp...

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Bibliographic Details
Published in:	Electronics letters Vol. 52; no. 19; pp. 1584 - 1586
Main Authors:	Chen, Pei, Zhao, Yongjun, Liu, Chengcheng
Format:	Journal Article
Language:	English
Published:	The Institution of Engineering and Technology 15.09.2016
Subjects:	Adaptive algorithms Algorithms Antennas and propagation array signal processing Beamforming concave programming covariance matrices Electronics Exact solutions iterative algorithm iterative methods Mathematical analysis mismatched sample covariance matrix multiplier nonconvex optimisation algorithm Optimization p‐shrinkage operator robust adaptive beamforming technique Robustness signal reconstruction sparse reconstruction sparse signal recovery model covariance matrices iterative methods multiplier sparse reconstruction iterative algorithm mismatched sample covariance matrix nonconvex optimisation algorithm sparse signal recovery model signal reconstruction robust adaptive beamforming technique concave programming array signal processing p-shrinkage operator
ISSN:	0013-5194, 1350-911X, 1350-911X
Online Access:	Get full text
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