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

Content Provider	IET Digital Library
Author	Li, Wei Deng, Weibo Yang, Qiang Migliore, Marco D.
Abstract	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 ℓ p ( 0 < p < 1 ) norm minimisation utilising iteratively reweighted least squares algorithm for identification of impaired planar array elements is investigated. Taken into account that the number of failed elements is far less than the total array elements, the differential array composed of the healthy array and damaged array is constructed. Then the near-field data are acquired by the probe using a random under-sampling strategy. Finally, the sparse excitations of this array are estimated through the proposed algorithm and the goal of failure detection is achieved. Numerical simulation results indicate that the proposed approach lowers the mean square error of retrieved excitations compared to the non-convex approach using perturbation technique, with the advantage of a significant reduction of running time. In addition, it also improves the probability of success rate of diagnosis effectively compared to the ℓ 1 norm and reweighted ℓ 1 norm regularised methods.
Starting Page	1940
Ending Page	1947
Page Count	8
ISSN	17518725
Volume Number	13
e-ISSN	17518733
Issue Number	Issue 11, Sep (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-map/13/11
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-map.2019.0008
Journal	IET Microwaves, Antennas & Propagation
Publisher Date	2019-05-09
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Antenna Array Array Diagnosis Method Compressed Sensing Defective Array Element Differential Array Failure Detection Fault Diagnosis Impaired Planar Array Element Interpolation And Function Approximation Iterative Method Least Mean Squares Method Mean Square Error Method Minimisation Near-Field Data Nonconvex Compressed Sensing Nonconvex Norm Minimisation Numerical Analysis Optimisation Technique Perturbation Technique Planar Antenna Array Planar Near-field Measurement Probability Random Perturbation-convex Local Minimiser Random Under-sampling Signal Processing And Detection Signal Reconstruction Sparse Excitations Statistics
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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