relation: http://www.eledia.org/students-reports/799/
title: A New Compressive Sensing Born Iterative Method to Image Non‐Weak Scatterers
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: In  this  work,  the  solution  of  the  non‐linear inverse  scattering  (IS)  problem  in presence of non‐weak scatterers is dealt with. More in detail, a customized hybrid solution  approach  is  developed  based  on  the  effective  combination  of  the  Born iterative  method  (BIM)  formulation  and  a  multi‐task  Bayesian  compressive  sensing (MT‐BCS) solution approach. Thanks to the adopted strategy, it is possible to avoid the contrast source formulation (CSF) of the IS problem, as well as the use of time‐consuming full‐wave simulations for the computation of the electric field inside the imaged domain. Some numerical results are shown to verify the effectiveness of the proposed IS solution method when dealing with the imaging of different pixel‐sparse targets under several noisy conditions.
publisher: ELEDIA Research Center - University of Trento
type: Monograph
type: NonPeerReviewed
format: text
language: en
identifier: http://www.eledia.org/students-reports/799/1/A_New_Compressive_Sensing_Born_Iterative_Method_to_Image_Non-Weak_Scatterers.pdf
identifier:   OLIVERI, Giacomo and Poli, Lorenzo and Anselmi, Nicola and SALUCCI, Marco and MASSA, Andrea   A New Compressive Sensing Born Iterative Method to Image Non‐Weak Scatterers.  Technical Report. ELEDIA Research Center - University of Trento.