relation: http://www.eledia.org/students-reports/796/
title: An innovative Sparseness‐Promoting Inverse Scattering Approach Based on 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: 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.
publisher: ELEDIA Research Center - University of Trento
type: Monograph
type: NonPeerReviewed
format: text
language: en
identifier: http://www.eledia.org/students-reports/796/1/An_Innovative_Sparseness-Promoting_Inverse_Scattering_Approach_Based_on_the_Born_Iterative_Method.pdf
identifier:   OLIVERI, Giacomo and Poli, Lorenzo and Anselmi, Nicola and SALUCCI, Marco and MASSA, Andrea   An innovative Sparseness‐Promoting Inverse Scattering Approach Based on the Born Iterative Method.  Technical Report. ELEDIA Research Center - University of Trento.