Reconstruction of the Buried Homogenous Dielectric Cylinder by FDTD and Asynchronous Particle Swarm Optimization

作者

  • Chung-Hsin Huang Department of Computer and Communication Engineering, Taipei College of Maritime Technology Danshui Town, Taipei County, Taiwan, R.O.C.
  • Chien-Hung Chen Department of Computer and Communication Engineering, Taipei College of Maritime Technology Danshui Town, Taipei County, Taiwan, R.O.C.
  • Chien-Ching Chiu Electrical Engineering Department, Tamkang University Tamsui, Taiwan, R.O.C
  • Ching-Lieh Li Electrical Engineering Department, Tamkang University Tamsui, Taiwan, R.O.C

关键词:

Reconstruction of the Buried Homogenous Dielectric Cylinder by FDTD and Asynchronous Particle Swarm Optimization

摘要

In this paper, a time domain microwave imaging technique for reconstructing the electromagnetic properties of a buried homogeneous dielectric cylinder based on the finite difference time domain (FDTD) method and the asynchronous particle swarm optimization (APSO) are presented. The homogeneous dielectric cylinder with unknown electromagnetic properties is illuminated by transverse magnetic pulse and the scattered field is recorded outside. The idea is to minimize the errors between two E field data such that the location, shape and permittivity of the dielectric cylinder can be reconstructed through the APSO scheme. The first E field data are obtained in the forward problem by the FDTD code with fine grids to mimic the experiment measurement data, while the second E field data are obtained in the inverse problem by the FDTD code with coarse grids. The inverse problem is resolved by an optimization approach, and the global searching scheme APSO is then employed to search the parameter space. A set of representative numerical results is presented for demonstrating that the proposed approach is able to efficiently reconstruct the electromagnetic properties of homogeneous dielectric scatterer even when the initial guess is far away from the exact one. In addition, the effects of Gaussian noises on imaging reconstruction are also investigated.

##plugins.generic.usageStats.downloads##

##plugins.generic.usageStats.noStats##

参考

D. Colton and R. Kress, Inverse Acoustic and

Electromagnetic Scattering Theory,

Springer-Verlag, New York, 1992.

F. Yaman, S. Simçsek, “Neural network

approach to determine nonsmooth one-

dimensional profiles in inverse scattering

theory,” Microwave and Optical Technology

Letters, vol. 49, no. 12, pp. 3158-3162, Dec.

ACES JOURNAL, VOL. 25, NO. 8, AUGUST 2010

C. H. Sun, C. L. Liu, K. C. Chen, C. C. Chiu,

C. L. Li, and C. C. Tasi, “Electromagnetic

transverse electric wave inverse scattering of

a partially immersed conductor by steady-

state genetic algorithm,” Electromagnetics.

vol. 28, no. 6, pp. 389-400, Aug. 2008.

M. Donelli, G. Franceschini, A. Martini, and

A. Massa, “An integrated multiscaling

strategy based on a particle swarm algorithm

for inverse scattering problems,” IEEE

Transactions on Geoscience and Remote

Sensing, vol. 44, no. 2, pp. 298-312, Feb.

W. Chien, C. H. Sun, and C. C. Chiu, “Image

reconstruction for a partially immersed

imperfectly conducting cylinder by genetic

algorithm,” International Journal of Imaging

Systems and Technology, vol. 19, pp. 299-

, Dec. 2009

M. Moghaddam and W. C. Chew, “Study of

some practical issues in inversion with the

Born iterative method using time-domain

data,” IEEE Transactions on Antennas and

Propagation, vol. 41, no. 2, pp. 177-184,

Feb. 1993.

W. H. Weedon, Broadband microwave

inverse scattering: Theory and experiment,

Ph.D. dissertation, University of Illinois at

Urbana-Champaign, 1994.

I. T. Rekanos, “Time-domain inverse

scattering using Lagrange multipliers: an

iterative FDTD-based optimization

technique,” Journal of Electromagnetic

Waves and Applications, vol. 17, no. 2, pp.

-289, 2003.

T. Takenaka, H. Jia, and T. Tanaka,

“Microwave imaging of electrical property

distributions by a forward-backward time-

stepping method,” Journal of

Electromagnetic Waves Application, vol. 14,

pp. 1609–1625, 2000.

X. M. Zhong, C Liao, and W. Chen, “Image

reconstruction of arbitrary cross section

conducting cylinder using UWB pulse,”

Journal of Electromagnetic Waves

Application,, vol. 21, no. 1, pp. 25-34, 2007.

C. H. Huang, C. C. Chiu, C. L. Li, and Y. H.

Li, “Image reconstruction of the buried

metallic cylinder using FDTD method and

SSGA,” Progress In Electromagnetics

Research, vol. 85, pp. 195-210, 2008.

K. A. Michalski, “Electromagnetic imaging

of circular-cylindrical conductors and tunnels

using a differential evolution algorithm,”

Microwave and Optical Technology Letters,

vol. 27, no. 5, pp. 330–334, Dec. 2000

A. Semnani, M. Kamyab, and I. T. Rekanos,

“Reconstruction of one-dimensional

dielectric scatterers using differential

evolution and particle swarm optimization,”

IEEE Geoscience and Remote Sensing

Letters, vol. 6, no. 4, pp. 671-675, Oct. 2009.

I. T. Rekanos, “Shape reconstruction of a

perfectly conducting scatterer using

differential evolution and particle swarm

optimization, ” IEEE Transactions on

Geoscience and Remote Sensing, vol. 46, no.

, pp. 1967-1974, July 2008.

M. Donelli and A. Massa, “Computational

approach based on a particle swarm

optimizer for microwave imaging of two-

dimensional dielectric scatterers,” IEEE

Transactions on Microwave Theory and

Techniques, vol. 53, no. 5, pp. 1761 - 1776,

May. 2005.

T. Huang and A. S. Mohan, “Application of

particle swarm optimization for microwave

imaging of lossy dielectric objects,” IEEE

Antenna and Propagation Society

International Symposium Digest, pp. 852 –

, 2005.

C. H. Huang, C. C. Chiu, C. L. Li, and K. C.

Chen, “Time domain inverse scattering of a

two-dimensional homogenous dielectric

object with arbitrary shape by particle swarm

optimization,” Progress In Electromagnetic

Research, vol. 82, pp. 381-400, 2008.

A. Taflove and S. Hagness, Computational

Electrodynamics: The Finite-Difference

Time-Domain Method, Artech House,

Boston, MA, 2000.

M. W. Chevalier, R. J. Luebbers, and V. P.

Cable, “FDTD local grid with material

traverse,” IEEE Trans. Antennas and

Propagation, vol. 45, no. 3, March 1997.

C. L. Li, C.-W. Liu, and S. H. Chen,

“Optimization of a PML absorber's

conductivity profile using FDTD,”

Microwave and Optical Technology Letters,

vol. 37, no. 5, pp. 69-73 , Jun. 2003

HUANG, CHEN, CHIU, LI: RECONSTRUCTION OF THE BURIED HOMOGENOUS DIELECTRIC CYLINDER BY FDTD AND ASYNCHRONOUS PSO

C. de Boor, A Practical Guide to Splines,

Springer-Verlag, New York, 1978.

J. Kennedy and R. C. Eberhart, “Particle

swarm optimization,” Proceedings of the

IEEE International Conference on Neural

Network, pp. 1942-1948, 1995.

M. Clerc, “The swarm and the queen:

towards a deterministic and adaptive particle

swarm optimization,” Proceedings of

Congress on Evolutionary Computation,

Washington, DC, pp. 1951-1957, 1999.

A. Carlisle and G. Dozier, “An Off-The-

Shelf PSO,” Proceedings of the Workshop on

Particle Swarm Optimization, pp.1-6, 2001.

T. Huang and A. S. Mohan, “A hybrid

boundary condition for robust particle

swarm. optimization,” IEEE Antennas and

Wireless Propagation Letters, vol. 4, pp.112-

, 2005.

##submission.downloads##

已出版

2022-06-17

栏目

General Submission