Fast non-convex compressed sensing approach for diagnosis of defective array elements using planar near-field measurements

The array diagnosis method using random perturbation-convex local minimiser has to make a compromise between the probability of correct reconstruction and the computational burden. In order to overcome this limitation, in this study, a non-convex $\ell _p$ℓp ($0 \lt p \lt 1$0<p<1) norm minimis...

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Bibliographic Details
Published in:	IET microwaves, antennas & propagation Vol. 13; no. 11; pp. 1940 - 1947
Main Authors:	Li, Wei, Deng, Weibo, Yang, Qiang, Migliore, Marco D
Format:	Journal Article
Language:	English
Published:	The Institution of Engineering and Technology 11.09.2019
Subjects:	array diagnosis method compressed sensing defective array elements differential array failure detection fault diagnosis impaired planar array elements iterative methods least mean squares methods mean square error minimisation near‐field data nonconvex compressed sensing nonconvex norm minimisation perturbation technique perturbation techniques planar antenna arrays planar near‐field measurements probability random perturbation‐convex local minimiser random under‐sampling Research Article signal reconstruction sparse excitations nonconvex compressed sensing iterative methods perturbation techniques least mean squares methods fault diagnosis array diagnosis method compressed sensing probability random perturbation-convex local minimiser defective array elements planar near-field measurements near-field data mean square error perturbation technique planar antenna arrays differential array nonconvex norm minimisation random under-sampling impaired planar array elements signal reconstruction sparse excitations minimisation failure detection
ISSN:	1751-8725, 1751-8733
Online Access:	Get full text
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