TY  - RPRT
M1  - technical_report
N2  - This  work  deals  with  the  problem  of  imaging  non?weak  scatterers  in  the Compressive  Sensing  (CS)  framework.  Towards  this  end,  an  innovative  hybrid  Born Iterative Compressive Sensing method  has been developed, by suitably formulating the non?linear inverse scattering (IS) problem at hand within the Born Iterative (BI) framework  and  exploiting  a  customized  version  of  the  single?task  Bayesian  CS  (ST?BCS)  solution  method.  Selected  numerical  results  are  shown  to  assess  the potentialities  of  the  proposed  IS  methodology  when  dealing  with  several  types  of unknown scatterers and processing noisy data with different signal?to?noise ratios.
TI  - Bayesian Compressive Imaging of Non?Weak Scatterers through the Born Iterative Method
UR  - http://www.eledia.org/students-reports/797/
AV  - public
KW  - Microwave Imaging
KW  -  Inverse Scattering
KW  -  Compressive Sensing
KW  -  Born Iterative Method
PB  - ELEDIA Research Center - University of Trento
ID  - elediasc12797
A1  - Oliveri, Giacomo
A1  - Poli, Lorenzo
A1  - Anselmi, Nicola
A1  - Salucci, Marco
A1  - Massa, Andrea
ER  -