In this contribution we investigate the capabilities of inverse scattering procedures for electromagnetic problems involving axially moving cylinders, without any restriction on their number, their shapes and their profiles of relative dielectric permittivity and axial velocity. As usual, the inverse scattering problems of interest are recast as optimization problems. An Ant Colony Optimization procedure is adopted to numerically solve these problems. It exploits a proprietary finite element code for the solution of forward scattering problems involving objects in motion. When the maximum magnitude of the axial speed is limited to one-hundredth of the speed of light in vacuum, it has been shown that it could be convenient to split the inverse problem into two parts (M. Pastorino, M. Raffetto, and A. Randazzo, IEEE Trans. Geosci. Remote Sens., 53, 2015, pp. 1452-1462): the first one related to the reconstruction of the geometrical and dielectric unknowns while the second part has to deal with the determination of the velocity profile. In this work we focus, in particular, on the latter one.
Reconstruction of velocity profiles of two-dimensional targets by an inverse scattering procedure based on a numerical forward solver
BRIGNONE, MASSIMO;PASTORINO, MATTEO;RAFFETTO, MIRCO;RANDAZZO, ANDREA
2015-01-01
Abstract
In this contribution we investigate the capabilities of inverse scattering procedures for electromagnetic problems involving axially moving cylinders, without any restriction on their number, their shapes and their profiles of relative dielectric permittivity and axial velocity. As usual, the inverse scattering problems of interest are recast as optimization problems. An Ant Colony Optimization procedure is adopted to numerically solve these problems. It exploits a proprietary finite element code for the solution of forward scattering problems involving objects in motion. When the maximum magnitude of the axial speed is limited to one-hundredth of the speed of light in vacuum, it has been shown that it could be convenient to split the inverse problem into two parts (M. Pastorino, M. Raffetto, and A. Randazzo, IEEE Trans. Geosci. Remote Sens., 53, 2015, pp. 1452-1462): the first one related to the reconstruction of the geometrical and dielectric unknowns while the second part has to deal with the determination of the velocity profile. In this work we focus, in particular, on the latter one.File | Dimensione | Formato | |
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