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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Vydáno v:	Electronics letters Ročník 52; číslo 19; s. 1584 - 1586
Hlavní autoři:	Chen, Pei, Zhao, Yongjun, Liu, Chengcheng
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	The Institution of Engineering and Technology 15.09.2016
Témata:	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
On-line přístup:	Získat plný text
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