Image Reconstruction of a Two-dimensional Periodic Imperfect Conductor by the Genetic Algorithm

機構典藏 > College of Engineering > Graduate Institute & Department of Electrical Engineering > Journal Article > Item 987654321/76423

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Title:	Image Reconstruction of a Two-dimensional Periodic Imperfect Conductor by the Genetic Algorithm
Authors:	Chiu, Chien-ching;Li, Ching-lieh;Ho, Cheng-shun
Contributors:	淡江大學電機工程學系
Keywords:	Periodic Conducting Scatterer;Inverse Problem;Genetic Algorithm
Date:	2003-01
Issue Date:	2012-05-09 15:52:50 (UTC+8)
Publisher:	Amsterdam: IOS Press
Abstract:	We consider the inverse problem of determining both the shape and the conductivity of a two-dimensional periodic conducting scatterer from knowledge of the far-field pattern of TM waves by solving the ill posed nonlinear equation. Based on the boundary condition and the measured scattered field, a set of nonlinear integral equations is derived and the imaging problem is reformulated into an optimization problem. The genetic algorithm is then employed to find out the global extreme solution of the object function. As a result, the shape and the conductivity of the conductor can be obtained. Numerical results are given to demonstrate that even in the presence of noise, good reconstruction has been obtained.
Relation:	International Journal of Applied Electromagnetics and Mechanics 17(4), pp.301-311
Appears in Collections:	[Graduate Institute & Department of Electrical Engineering] Journal Article

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