Bayesian Compressive Sensing Failure Detection in Planar Phased Antenna Arrays

SALUCCI, Marco and GELMINI, Angelo and OLIVERI, Giacomo and MASSA, Andrea (2019) Bayesian Compressive Sensing Failure Detection in Planar Phased Antenna Arrays. Technical Report. ELEDIA Research Center - University of Trento.

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Abstract

The diagnosis of planar phased antenna arrays is dealt with in this work. The retrieval of the faulty radiators in the antenna under test (AUT) is formulated within the compressive sensing (CS) framework and it is efficiently and effectively solved through a customized Bayesian CS (BCS) solver. Robust and reliable reconstructions of the AUT status are yielded by means of the proposed diagnosis tool also in presence of significant amounts of noise on processed far‐field data. Some numerical experiments are presented to assess the BCS‐based method when dealing with different operative conditions as well as considering a variation of the array size and failure rate.

Item Type: Monograph (Technical Report)
Uncontrolled Keywords: Antenna arrays, array failure, Bayesian compressive sensing (BCS), compressive sensing, fault diagnosis, planar arrays
Subjects: A Areas > A WC Next Generation Wireless Communications
M Methodologies > M CS Compressive Sensing
URI: http://www.eledia.org/students-reports/id/eprint/792

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