relation: http://www.eledia.org/students-reports/731/
title: Frequency‐Hopping Multi‐Resolution GPR Microwave Imaging Based on Stochastic Optimization
creator: Salucci, M.
creator: Poli, L.
creator: Anselmi, N.
creator: Massa, A.
subject: A WC Next Generation Wireless Communications
subject: M EA Evolutionary Algorithms
description: 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.
publisher: University of Trento
date: 2016
type: Monograph
type: NonPeerReviewed
format: text
language: en
identifier: http://www.eledia.org/students-reports/731/2/Frequency%E2%80%90Hopping%20Multi%E2%80%90Resolution%20GPR%20Microwave%20Imaging%20Based%20on%20Stochastic%20Optimization.pdf
identifier:   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.