relation: http://www.eledia.org/students-reports/797/
title: Bayesian Compressive Imaging of Non‐Weak Scatterers through the Born Iterative Method
creator: Oliveri, Giacomo
creator: Poli, Lorenzo
creator: Anselmi, Nicola
creator: Salucci, Marco
creator: Massa, Andrea
subject: A WC Next Generation Wireless Communications
subject: M CS Compressive Sensing
description: 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.
publisher: ELEDIA Research Center - University of Trento
type: Monograph
type: NonPeerReviewed
format: text
language: en
identifier: http://www.eledia.org/students-reports/797/1/Bayesian_Compressive_Sensing_Imaging_of_Non-Weak_Scatterers_through_the_Born_Iterative_Method.pdf
identifier:   Oliveri, Giacomo and Poli, Lorenzo and Anselmi, Nicola and Salucci, Marco and Massa, Andrea   Bayesian Compressive Imaging of Non‐Weak Scatterers through the Born Iterative Method.  Technical Report. ELEDIA Research Center - University of Trento.