relation: http://www.eledia.org/students-reports/779/
title: A Multi‐Resolution Approach for Enhancing the BCS‐Based Imaging of Sparse Scatterers
creator: Anselmi, N.
creator: Poli, L.
creator: Oliveri, G.
creator: Massa, A.
subject: A WC Next Generation Wireless Communications
subject: M AT Analytic Techniques
subject: M CS Compressive Sensing
description: In this work, a novel inverse scattering technique is proposed to deal with the imaging of sparse scatterers under the Born approximation. A Bayesian compressive sensing (BCS) solver is integrated within an iterative multi-scaling approach (IMSA) to exploit the progressively acquired information on the imaged scenario and adaptively improve the reconstruction accuracy and resolution within the identified region of interest (RoI).  Selected numerical results are shown in order to assess the potentialities, as well as the limitations, of the proposed imaging methodology.
publisher: ELEDIA Research Center - University of Trento
date: 2018
type: Monograph
type: NonPeerReviewed
format: text
language: en
identifier: http://www.eledia.org/students-reports/779/1/A%20Multi%E2%80%90Resolution%20Approach%20for%20Enhancing%20the%20BCS%E2%80%90Based%20Imaging%20of%20Sparse%20Scatterers.pdf
identifier:   Anselmi, N. and Poli, L. and Oliveri, G. and Massa, A.  (2018) A Multi‐Resolution Approach for Enhancing the BCS‐Based Imaging of Sparse Scatterers.  Technical Report. ELEDIA Research Center - University of Trento.