relation: http://www.eledia.org/students-reports/798/
title: An Hybrid Multi‐Task Bayesian Compressive Born Iterative Microwave Imaging Approach
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 presents an innovative microwave imaging method to retrieve non‐weak targets  in  the  compressive  sensing  (CS)  framework.  In  order  to  avoid  the  contrast source  formulation  (CSF)  of  the  arising  inverse  scattering  (IS)  problem,  a  Born Iterative  (BI)  formulation  is  adopted,  and  the  estimation  of  the  unknown  contrast function within the imaged domain is carried out by means of an iterative approach thanks to a customized multi‐task Bayesian compressive sensing (MT‐BCS) method. Some  preliminary  results  are  reported  in  order  to  verify  the  effectiveness  of  the   proposed  hybrid  BI‐MT‐BCS  solution  strategy,  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/798/1/An_Hybrid_Multi-Task_Bayesian_Compressive_Born_Iterative_Microwave_Imaging_Approach.pdf
identifier:   OLIVERI, Giacomo and Poli, Lorenzo and Anselmi, Nicola and SALUCCI, Marco and MASSA, Andrea   An Hybrid Multi‐Task Bayesian Compressive Born Iterative Microwave Imaging Approach.  Technical Report. ELEDIA Research Center - University of Trento.