IEICE TRANSACTIONS on Electronics
Inverse Scattering of a Two-Dimensional Dielectric Object by Genetic Algorithms
Summary :
In this paper, an efficient optimization algorithm for solving the inverse problem of a two-dimensional lossless homogeneous dielectric object is investigated. A lossless homogeneous dielectric cylinder of unknown permittivity scatters the incident wave in free space and the scattered fields are recorded. Based on the boundary condition and the incident field, a set of nonlinear surface integral equation is derived. The imaging problem is reformulated into optimization problem and the steady-state genetic algorithm is employed to reconstruct the shape and the dielectric constant of the object. Numerical results show that the permittivity of the cylinders can be successfully reconstructed even when the permittivity is fairly large. The effect of random noise on imaging reconstruction is also investigated.
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- IEICE TRANSACTIONS on Electronics Vol.E86-C No.11 pp.2230-2236
- Publication Date
- 2003/11/01
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- Special Section PAPER (Special Issue on Analytical and Simulation Methods for Electromagnetic Wave Problems)
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Chun Jen LIN, Chien-Ching CHIU, Yi-Da WU, "Inverse Scattering of a Two-Dimensional Dielectric Object by Genetic Algorithms" in IEICE TRANSACTIONS on Electronics,
vol. E86-C, no. 11, pp. 2230-2236, November 2003, doi: .
Abstract: In this paper, an efficient optimization algorithm for solving the inverse problem of a two-dimensional lossless homogeneous dielectric object is investigated. A lossless homogeneous dielectric cylinder of unknown permittivity scatters the incident wave in free space and the scattered fields are recorded. Based on the boundary condition and the incident field, a set of nonlinear surface integral equation is derived. The imaging problem is reformulated into optimization problem and the steady-state genetic algorithm is employed to reconstruct the shape and the dielectric constant of the object. Numerical results show that the permittivity of the cylinders can be successfully reconstructed even when the permittivity is fairly large. The effect of random noise on imaging reconstruction is also investigated.
URL: https://global.ieice.org/en_transactions/electronics/10.1587/e86-c_11_2230/_p
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@ARTICLE{e86-c_11_2230,
author={Chun Jen LIN, Chien-Ching CHIU, Yi-Da WU, },
journal={IEICE TRANSACTIONS on Electronics},
title={Inverse Scattering of a Two-Dimensional Dielectric Object by Genetic Algorithms},
year={2003},
volume={E86-C},
number={11},
pages={2230-2236},
abstract={In this paper, an efficient optimization algorithm for solving the inverse problem of a two-dimensional lossless homogeneous dielectric object is investigated. A lossless homogeneous dielectric cylinder of unknown permittivity scatters the incident wave in free space and the scattered fields are recorded. Based on the boundary condition and the incident field, a set of nonlinear surface integral equation is derived. The imaging problem is reformulated into optimization problem and the steady-state genetic algorithm is employed to reconstruct the shape and the dielectric constant of the object. Numerical results show that the permittivity of the cylinders can be successfully reconstructed even when the permittivity is fairly large. The effect of random noise on imaging reconstruction is also investigated.},
keywords={},
doi={},
ISSN={},
month={November},}
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TY - JOUR
TI - Inverse Scattering of a Two-Dimensional Dielectric Object by Genetic Algorithms
T2 - IEICE TRANSACTIONS on Electronics
SP - 2230
EP - 2236
AU - Chun Jen LIN
AU - Chien-Ching CHIU
AU - Yi-Da WU
PY - 2003
DO -
JO - IEICE TRANSACTIONS on Electronics
SN -
VL - E86-C
IS - 11
JA - IEICE TRANSACTIONS on Electronics
Y1 - November 2003
AB - In this paper, an efficient optimization algorithm for solving the inverse problem of a two-dimensional lossless homogeneous dielectric object is investigated. A lossless homogeneous dielectric cylinder of unknown permittivity scatters the incident wave in free space and the scattered fields are recorded. Based on the boundary condition and the incident field, a set of nonlinear surface integral equation is derived. The imaging problem is reformulated into optimization problem and the steady-state genetic algorithm is employed to reconstruct the shape and the dielectric constant of the object. Numerical results show that the permittivity of the cylinders can be successfully reconstructed even when the permittivity is fairly large. The effect of random noise on imaging reconstruction is also investigated.
ER -
English
