eprintid: 733
rev_number: 9
eprint_status: archive
userid: 4
dir: disk0/00/00/07/33
datestamp: 2017-06-01 10:10:22
lastmod: 2018-02-26 15:56:10
status_changed: 2017-06-01 10:10:22
type: monograph
metadata_visibility: show
creators_name: Salucci, M.
creators_name: Poli, L.
creators_name: Anselmi, N.
creators_name: Massa, A.
title: An Innovative Particle Swarm Optimization‐Based Approach for GPR Microwave Imaging
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: This work presents an innovative microwave imaging technique for accurate and robust subsurface imaging. The proposed approach is based on the integration of a customized particle swarm optimization (PSO) algorithm within the iterative multi-scaling approach (IMSA), and exploits multiple frequency components extracted from ground penetrating radar (GPR) wideband data. The solution of the arising inverse scattering problem is yielded within a multi-frequency (MF) approach, allowing to exploit the intrinsic frequency diversity of GPR measurements in order to add information and mitigate the ill-posedness and non-linearity issues. Some numerical experiments are shown in order to assess the effectiveness of the proposed MF-IMSA-PSO method when dealing with the retrieval of unknown buried scatterers having different shape. Moreover, a comparison to a competitive state-of-the-art deterministic approach is shown, in order to highlight the benefits of exploiting a global optimization algorithm in minimizing the MF cost function.
date: 2016
publisher: University of Trento
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citation:   Salucci, M. and Poli, L. and Anselmi, N. and Massa, A.  (2016) An Innovative Particle Swarm Optimization‐Based Approach for GPR Microwave Imaging.  Technical Report. University of Trento.     
document_url: http://www.eledia.org/students-reports/733/1/An%20Innovative%20Particle%20Swarm%20Optimization%E2%80%90Based%20Approach%20for%20GPR%20Microwave%20Imaging.pdf