relation: http://www.eledia.org/students-reports/791/
title: Detecting Failures in Planar Phased Arrays: a Bayesian Compressive Sensing Approach
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 detection of failures in planar phased antenna arrays is dealt with. Towards this goal, the inverse problem at hand is formulated within a probabilistic framework and it is efficiently solved through a Bayesian compressive sensing (BCS) method. More in detail, starting from the knowledge of the failure‐free (i.e., "gold") pattern and of that radiated by the antenna under test (AUT), the reconstruction of the  faulty radiators  is  seen  as  a  sparse  retrieval  problem whose  solution  does  not require  the  compliance  of  the  restricted  isometry  property  (RIP)  by  the measurement operator. Some preliminary numerical results are shown to assess the effectiveness of the proposed array 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/791/1/Detecting_Failures_in_Planar_Phased_Arrays_a_Bayesian_Compressive_Sensing_Approach.v2.pdf
identifier:   SALUCCI, Marco and GELMINI, Angelo and OLIVERI, Giacomo and MASSA, Andrea  (2019) Detecting Failures in Planar Phased Arrays: a Bayesian Compressive Sensing Approach.  Technical Report. ELEDIA Research Center - University of Trento.