TY  - RPRT
M1  - technical_report
N2  - 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.
TI  - Bayesian Compressive Sensing Failure Detection in Planar Phased Antenna Arrays
Y1  - 2019///
UR  - http://www.eledia.org/students-reports/792/
AV  - public
KW  - Antenna arrays
KW  -  array failure
KW  -  Bayesian compressive sensing (BCS)
KW  -  compressive sensing
KW  -  fault diagnosis
KW  -  planar arrays
PB  - ELEDIA Research Center - University of Trento
A1  - SALUCCI, Marco
A1  - GELMINI, Angelo
A1  - OLIVERI, Giacomo
A1  - MASSA, Andrea
ID  - elediasc12792
ER  -