eprintid: 737
rev_number: 9
eprint_status: archive
userid: 4
dir: disk0/00/00/07/37
datestamp: 2017-06-29 07:27:29
lastmod: 2018-02-26 14:58:56
status_changed: 2017-06-29 07:27:29
type: monograph
metadata_visibility: show
creators_name: Salucci, M.
creators_name: Poli, L.
creators_name: Anselmi, N.
creators_name: Massa, A.
title: Robust Multi-Frequency GPR Microwave Imaging through Multi-Scaling Particle Swarm Optimization
ispublished: pub
subjects: AWC
subjects: MEA
full_text_status: public
monograph_type: technical_report
keywords: Ground Penetrating Radar (GPR), Inverse Scattering (IS), Multi-Frequency (MF), Particle Swarm Optimization (PSO), Stochastic Optimization, Wide-band Data, Iterative Multi Scaling Approach (IMSA)
abstract: In this work, an innovative GPR microwave imaging technique is proposed for solving the subsurface inverse scattering problem in a multi-frequency (MF) framework. The proposed technique exploits a stochastic optimizer based on particle swarm optimization (PSO) in order to effectively deal with the minimization of the MF cost function without being trapped into false solutions. Moreover, the iterative multi-scaling approach (IMSA) is exploited in order to achieve higher resolutions within the identified regions of interest. Some numerical results are shown, carefully selected from an extensive validation of the method, in order to assess its performance when dealing with the retrieval of buried objects under several noise levels. More precisely, a variation of the number of measurement points placed above the interface to collect the scattered radargram is considered, in order to investigate the robustness of the developed method, as well as to compare it to a deterministic implementation within the same solution  framework.
date: 2017
publisher: University of Trento
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[4] M. Salucci, L. Poli, and A. Massa, "Advanced multi-frequency GPR data processing for non-linear deterministic imaging," Signal Processing - Special Issue on 'Advanced Ground-Penetrating Radar Signal-Processing Techniques,' vol. 132, pp. 306-318, Mar. 2017.
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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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[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.  (2017) Robust Multi-Frequency GPR Microwave Imaging through Multi-Scaling Particle Swarm Optimization.  Technical Report. University of Trento.     
document_url: http://www.eledia.org/students-reports/737/1/Robust%20Multi%E2%80%90Frequency%20GPR%20Microwave%20Imaging%20through%20Multi%E2%80%90ScalinG%20Particle%20Swarm%20Optimization.pdf