relation: http://www.eledia.org/students-reports/794/
title: A Bayesian Compressive Sensing Method for Robust Diagnosis of Planar Arrays from Far‐Field Measurements
creator: SALUCCI, Marco
creator: GELMINI, Angelo
creator: OLIVERI, Giacomo
creator: MASSA, Andrea
subject: A WC Next Generation Wireless Communications
subject: M CS Compressive Sensing
description: In  this  work,  the  diagnosis of planar phased antenna arrays from far‐field measurements is addressed. The inverse problem at hand is formulated as a sparse retrieval one devoted at reconstructing the faulty radiators within the antenna under test. Towards this end, a Bayesian compressive sensing (BCS)‐based method is developed to deal with the planar array diagnosis without requiring that the involved measurement operator a‐priori satisfies the restricted isometry property (RIP). Furthermore, the proposed diagnosis tool is able to take into account the presence of real radiators, as well as to consider mutual coupling effects arising in realistic operative conditions. Some representative numerical examples are presented in order to verify the effectiveness of the proposed diagnosis tool.
publisher: ELEDIA Research Center - University of Trento
date: 2019
type: Monograph
type: NonPeerReviewed
format: text
language: en
identifier: http://www.eledia.org/students-reports/794/1/A_Bayesian_Compressive_Sensing_Method_for_Robust_Diagnosis_of_Planar_Arrays_from_Far%E2%80%90Field_Measurements.v2.pdf
identifier:   SALUCCI, Marco and GELMINI, Angelo and OLIVERI, Giacomo and MASSA, Andrea  (2019) A Bayesian Compressive Sensing Method for Robust Diagnosis of Planar Arrays from Far‐Field Measurements.  Technical Report. ELEDIA Research Center - University of Trento.