eprintid: 731
rev_number: 11
eprint_status: archive
userid: 4
dir: disk0/00/00/07/31
datestamp: 2017-05-19 14:36:17
lastmod: 2018-02-26 15:53:29
status_changed: 2017-05-19 14:36:17
type: monograph
metadata_visibility: show
creators_name: Salucci, M.
creators_name: Poli, L.
creators_name: Anselmi, N.
creators_name: Massa, A.
title: Frequency‐Hopping Multi‐Resolution GPR Microwave Imaging Based on Stochastic Optimization
ispublished: pub
subjects: AWC
subjects: MEA
full_text_status: public
monograph_type: technical_report
keywords: Ground Penetrating Radar (GPR), Inverse Scattering (IS), Frequency-Hopping (FH), Particle Swarm Optimization (PSO), Stochastic Optimization, Wide-band Data, Iterative Multi-Scaling Approach (IMSA)
abstract: This work presents an innovative microwave imaging technique for processing wide-band ground penetrating radar (GPR) data and solving the subsurface inverse scattering problem. The proposed technique is based on the integration of a customized stochastic solver based on the Particle Swarm Optimizer (PSO) with the iterative multi-scaling approach (IMSA). Moreover, the IMSA-PSO is nested within a frequency-hopping (FH) approach in order to exploit the frequency-diversity of GPR measurements as an additional source of information for regularizing the subsurface inverse scattering problem. Some preliminary numerical results are shown in order to assess the effectiveness of the proposed methodology, as well as to compare it to a single-resolution (BARE) implementation within the same framework.
date: 2016
publisher: University of Trento
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[9] G. Oliveri, N. Anselmi, and A. Massa, "Compressive sensing imaging of non-sparse 2D scatterers by a total-variation approach within the Born approximation," IEEE Trans. Antennas Propag., vol. 62, no. 10, pp. 5157-5170, Oct. 2014.
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[13] M. Salucci, N. Anselmi, G. Oliveri, P. Calmon, R. Miorelli, C. Reboud, and A. Massa, "Real-time NDT-NDE through an innovative adaptive partial least squares SVR inversion approach," IEEE Trans. Geosci. Remote Sens., vol. 54, no. 11, pp. 6818-6832, Nov. 2016.
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[15] M. Donelli, D. Franceschini, P. Rocca, and A. Massa, "Three-dimensional microwave imaging problems solved through an efficient multiscaling particle swarm optimization," IEEE Trans. Geosci. Remote Sensing, vol. 47, no. 5, pp. 1467-1481, May 2009.
citation:   Salucci, M. and Poli, L. and Anselmi, N. and Massa, A.  (2016) Frequency‐Hopping Multi‐Resolution GPR Microwave Imaging Based on Stochastic Optimization.  Technical Report. University of Trento.     
document_url: http://www.eledia.org/students-reports/731/2/Frequency%E2%80%90Hopping%20Multi%E2%80%90Resolution%20GPR%20Microwave%20Imaging%20Based%20on%20Stochastic%20Optimization.pdf