relation: http://www.eledia.org/students-reports/733/
title: An Innovative Particle Swarm Optimization‐Based Approach for GPR Microwave Imaging
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 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.
publisher: University of Trento
date: 2016
type: Monograph
type: NonPeerReviewed
format: text
language: en
identifier: http://www.eledia.org/students-reports/733/1/An%20Innovative%20Particle%20Swarm%20Optimization%E2%80%90Based%20Approach%20for%20GPR%20Microwave%20Imaging.pdf
identifier:   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.