@techreport{elediasc12798,
            type = {Technical Report},
           title = {An Hybrid Multi?Task Bayesian Compressive Born Iterative Microwave Imaging Approach},
          author = {Giacomo OLIVERI and Lorenzo Poli and Nicola Anselmi and Marco SALUCCI and Andrea MASSA},
       publisher = {ELEDIA Research Center - University of Trento},
             url = {http://www.eledia.org/students-reports/798/},
        keywords = {Microwave Imaging, Inverse Scattering, Compressive Sensing, Born Iterative Method},
        abstract = {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.}
}