relation: http://www.eledia.org/students-reports/916/
title: Contrast Source Inversion of Non-Born Scatterers with Multi-Resolution Bayesian Learning
creator: SALUCCI, Marco
creator: POLI, Lorenzo
creator: ZARDI, Francesco
creator: TOSI, Luca
creator: LUSA, Samantha
creator: MASSA, Andrea
subject: A WC Next Generation Wireless Communications
subject: M CS Compressive Sensing
description: This report introduces an advanced multi-step inverse scattering method within the contrast source inversion (CSI) framework to reconstruct non-Born scatterers. The approach employs a multi-resolution (MR) representation to flexibly model the unknown contrast sources, which are iteratively estimated using a Bayesian compressive sensing (BCS) technique. The proposed MR-BCS-CSI method is rigorously evaluated through different case studies, demonstrating high accuracy, stability, and robustness. A comparative analyses is performed to further highlight its effectivenes.
publisher: ELEDIA Research Center - University of Trento
date: 2025
type: Monograph
type: NonPeerReviewed
format: text
language: en
identifier: http://www.eledia.org/students-reports/916/1/Contrast_Source_Inversion_of_Non-Born_Scatterers_with_Multi-Resolution_Bayesian_Learning.pdf
identifier:   SALUCCI, Marco and POLI, Lorenzo and ZARDI, Francesco and TOSI, Luca and LUSA, Samantha and MASSA, Andrea  (2025) Contrast Source Inversion of Non-Born Scatterers with Multi-Resolution Bayesian Learning.  Technical Report. ELEDIA Research Center - University of Trento.