@techreport{elediasc12791,
            type = {Technical Report},
           title = {Detecting Failures in Planar Phased Arrays: a Bayesian Compressive Sensing Approach},
          author = {Marco SALUCCI and Angelo GELMINI and Giacomo OLIVERI and Andrea MASSA},
       publisher = {ELEDIA Research Center - University of Trento},
            year = {2019},
        abstract = {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.},
        keywords = {Antenna arrays, array failure, Bayesian compressive sensing (BCS), compressive sensing, fault diagnosis, planar arrays},
             url = {http://www.eledia.org/students-reports/791/}
}