relation: http://www.eledia.org/students-reports/728/
title: Deterministic Inversion of Wideband GPR Data for Multi‐Resolution Imaging of Buried Objects
creator: Salucci, M.
creator: Poli, L.
creator: Massa, A.
subject: A WC Next Generation Wireless Communications
subject: M DSCP Deterministic Strategies for Combinatorial Problems
description: In this work, the performance of an innovative conjugate-gradient (CG)-based deterministic microwave imaging technique are assessed for the inversion of wideband ground penetrating radar (GPR) data. The developed methodology exploits the intrinsic frequency diversity of GPR measurements through a multi-frequency (MF) strategy in order to add information  to the inversion problem and to mitigate the negative effects of ill-posedness of the buried inverse scattering (IS) problem. Moreover,  the iterative multi-scaling approach (IMSA) is exploited in order to increase as much as possible the ratio between non-redundant data and problem unknowns, thus mitigating the problem of the non-linearity. Some numerical results are shown, in order to analyze the achievable reconstruction capabilities by the developed MF technique when dealing with the retrieval of objects having different values of relative permittivity. A direct comparison with a frequency hopping (FH)-based implementation of the same multi-resolution deterministic solver is shown, as well, to highlight the differences between the two approaches.
publisher: University of Trento
date: 2017
type: Monograph
type: NonPeerReviewed
format: text
language: en
identifier: http://www.eledia.org/students-reports/728/1/Deterministic%20Inversion%20of%20Wideband%20GPR%20Data%20for%20Multi%E2%80%90Resolution%20Imaging%20of%20Buried%20Objects.pdf
identifier:   Salucci, M. and Poli, L. and Massa, A.  (2017) Deterministic Inversion of Wideband GPR Data for Multi‐Resolution Imaging of Buried Objects.  Technical Report. University of Trento.