@techreport{elediasc12796,
            type = {Technical Report},
          author = {Giacomo OLIVERI and Lorenzo Poli and Nicola Anselmi and Marco SALUCCI and Andrea MASSA},
           title = {An innovative Sparseness?Promoting Inverse Scattering Approach Based on the Born Iterative Method},
       publisher = {ELEDIA Research Center - University of Trento},
        abstract = {In  this  work,  non?Born  targets  are  imaged  through  a  novel  inverse  scattering  (IS) methodology in microwave regime. The proposed method is based on a sparseness?promoting  approach  formulated  within  the  single?task  Bayesian  compressive sensing  (ST?BCS)  framework.  Moreover,  the  ST?BCS  solver  is  effectively  combined with a Born iterative method (BIM) inversion strategy to retrieve the target contrast while estimating the total electric field inside the imaged domain without recurring to  time?consuming  full?wave  simulations.  Some  preliminary    numerical  results  are reported to assess the effectiveness of the proposed BIM?ST?BCS method, as well as to highlight its current limitations.},
             url = {http://www.eledia.org/students-reports/796/},
        keywords = {Microwave Imaging, Inverse Scattering, Compressive Sensing, Born Iterative Method}
}