Table of Contents Author Guidelines Submit a Manuscript
Journal of Electrical and Computer Engineering
Volume 2013, Article ID 627410, 5 pages
Research Article

Radar Array Diagnosis from Undersampled Data Using a Compressed Sensing/Sparse Recovery Technique

1DIMES, Università della Calabria, 87036 Rende, Italy
2DIEI, Università di Cassino e del Lazio Meridionale, Via Di Biasio 43, 03043 Cassino, Italy

Received 24 May 2013; Accepted 20 August 2013

Academic Editor: Alvaro Rocha

Copyright © 2013 S. Costanzo et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


A Compressed Sensing/Sparse Recovery approach is adopted in this paper for the accurate diagnosis of fault array elements from undersampled data. Experimental validations on a slotted waveguide test array are discussed to demonstrate the effectiveness of the proposed procedure in the failures retrieval from a small set of measurements with respect to the number of radiating elements. Due to the sparsity feature of the proposed formulation, the method is particularly appealing for the diagnostics of large arrays, typically adopted for radar applications.