relation: http://www.eledia.org/students-reports/782/
title: Effective Integration of BCS with the IMSA to Enhance the Microwave Imaging of Sparse Objects Under the Born Approximation
creator: Anselmi, N.
creator: Poli, L.
creator: Oliveri, G.
creator: Massa, A.
subject: A WC Next Generation Wireless Communications
subject: M CS Compressive Sensing
description: In this work, the microwave imaging of sparse scatterers under the first order Born approximation is dealt with. Towards this end, an innovative Bayesian compressive sensing (BCS) methodology is derived and implemented in order to combine the well-known regularization capabilities of CS solvers with the progressively acquired information about the imaged scenario through the iterative multi-scaling approach (IMSA).   Selected numerical results are presented in order to verify the effectiveness of the proposed IMSA-BCS technique, as well as to compare it against competitive state-of-the-art approaches.
publisher: ELEDIA Research Center - University of Trento
date: 2018
type: Monograph
type: NonPeerReviewed
format: text
language: en
identifier: http://www.eledia.org/students-reports/782/1/Effective_Integration_of_BCS_with_the_IMSA_to_Enhance_the_Microwave_Imaging_of_Sparse_Objects_Under_the_Born_Approximation.v2.pdf
identifier:   Anselmi, N. and Poli, L. and Oliveri, G. and Massa, A.  (2018) Effective Integration of BCS with the IMSA to Enhance the Microwave Imaging of Sparse Objects Under the Born Approximation.  Technical Report. ELEDIA Research Center - University of Trento.