NDLI: Time domain inverse problem of a buried dielectric cylinder

Content Provider	IEEE Xplore Digital Library
Author	Chien-Ching Chiu Ching-Lieh Li Chung-Hsin Huang Wan Ling Chang
Copyright Year	2009
Description	Author affiliation: Electrical Engineering Department, Tamkang University, Tamsui, Taiwan, R.O.C. (Chien-Ching Chiu; Ching-Lieh Li; Chung-Hsin Huang; Wan Ling Chang)
Abstract	This paper presents an image reconstruction approach based on the time-domain and particle swarm optimization (PSO) for a 2-D homogeneous dielectric cylinder buried in a half-space. The computational method combines the finite difference time domain (FDTD) method and the particle swarm optimization (PSO) to determine the shape and location of the underground scatterer with arbitrary cross section. The subgirdding technique is implemented in the FDTD code for modeling the shape of the cylinder more closely. In order to describe an unknown cylinder with arbitrary shape more effectively, the shape function is expanded by closed cubic-spline function instead of frequently used trigonometric series. The inverse problem is resolved by an optimization approach, and the global searching scheme PSO is then employed to searching the parameter space. In order to reduce the number of the unknown parameters for the inverse scattering, the shape function of the cylinder is interpolated in terms of the closed cubic-spline. Numerical results demonstrate that, even when the initial guess is far away from the exact one, good reconstruction can be obtained.
Starting Page	750
Ending Page	753
File Size	362779
Page Count	4
File Format	PDF
ISBN	9781424447534
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-03-23
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	VDE
Subject Keyword	Inverse problems Shape Electromagnetic scattering Particle scattering Time domain analysis Dielectrics Particle swarm optimization Image reconstruction Finite difference methods Engine cylinders
Content Type	Text
Resource Type	Article

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