eprintid: 729
rev_number: 9
eprint_status: archive
userid: 4
dir: disk0/00/00/07/29
datestamp: 2017-04-27 07:14:23
lastmod: 2018-02-26 14:50:33
status_changed: 2017-04-27 07:14:23
type: monograph
metadata_visibility: show
creators_name: Salucci, M.
creators_name: Poli, L.
creators_name: Massa, A.
title: Multi-Frequency Deterministic Inversion of Wideband GPR Data: Achievable Performance in the Presence of Unknown Background Media
ispublished: pub
subjects: AWC
subjects: MDSCP
full_text_status: public
monograph_type: technical_report
keywords: Ground Penetrating Radar (GPR), Inverse Scattering (IS), Multi-Frequency, Conjugate Gradient, Deterministic Approaches, Wide-band Data
abstract: This work deals with the retrieval of the electromagnetic properties of buried investigation domains starting from the processing of wideband ground penetrating radar (GPR) data. More precisely, the achievable performance by two deterministic multi-zooming (IMSA) conjugate gradient (CG)-based techniques are assessed when no exact knowledge of the electric permittivity of the background is available to perform the inversion. More precisely, the first analyzed technique is based on a multi-frequency (MF) approach (i.e., the MF-IMSA-CG), while the second one is a state-of-the-art frequency-hopping (FH) based methodology (i.e., the FH-IMSA-CG). Some significant numerical results are reported in order to understand what is the impact of a wrong guess of the hosting medium under several noise conditions for both MF and FH-based inversion methods.
date: 2017
publisher: University of Trento
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citation:   Salucci, M. and Poli, L. and Massa, A.  (2017) Multi-Frequency Deterministic Inversion of Wideband GPR Data: Achievable Performance in the Presence of Unknown Background Media.  Technical Report. University of Trento.     
document_url: http://www.eledia.org/students-reports/729/1/Multi%E2%80%90Frequency%20Deterministic%20Inversion%20of%20Wideband%20GPR%20Data_%20Achievable%20Performance%20in%20the%20Presence%20of%20Unknown%20Background%20Media.pdf