%L elediasc12792
%T Bayesian Compressive Sensing Failure Detection in Planar Phased Antenna Arrays
%D 2019
%X 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.
%A Marco SALUCCI
%A Angelo GELMINI
%A Giacomo OLIVERI
%A Andrea MASSA
%I ELEDIA Research Center - University of Trento
%K Antenna arrays, array failure, Bayesian compressive sensing (BCS), compressive sensing, fault diagnosis, planar arrays