TY  - RPRT
PB  - ELEDIA Research Center - University of Trento
UR  - http://www.eledia.org/students-reports/798/
A1  - OLIVERI, Giacomo
A1  - Poli, Lorenzo
A1  - Anselmi, Nicola
A1  - SALUCCI, Marco
A1  - MASSA, Andrea
AV  - public
ID  - elediasc12798
M1  - technical_report
TI  - An Hybrid Multi?Task Bayesian Compressive Born Iterative Microwave Imaging Approach
KW  - Microwave Imaging
KW  -  Inverse Scattering
KW  -  Compressive Sensing
KW  -  Born Iterative Method
N2  - This work presents an innovative microwave imaging method to retrieve non?weak targets  in  the  compressive  sensing  (CS)  framework.  In  order  to  avoid  the  contrast source  formulation  (CSF)  of  the  arising  inverse  scattering  (IS)  problem,  a  Born Iterative  (BI)  formulation  is  adopted,  and  the  estimation  of  the  unknown  contrast function within the imaged domain is carried out by means of an iterative approach thanks to a customized multi?task Bayesian compressive sensing (MT?BCS) method. Some  preliminary  results  are  reported  in  order  to  verify  the  effectiveness  of  the 
proposed  hybrid  BI?MT?BCS  solution  strategy,  as  well  as  to  highlight  its  current 
limitations.
ER  -