2000 IEEE.
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IEEE Transactions on Microwave Theory and Techniques
Volume 48 Number 11, November 2000
Table of Contents for this issue
Complete paper in PDF format
Electromagnetic Imaging for
an Imperfectly Conducting Cylinder by the Genetic
Algorithm
Chien-Ching Chiu and Wei-Ting Chen
Page 1901.
Abstract:
This paper presents a computational approach to the imaging of
an imperfectly conducting cylinder by the genetic algorithm (GA). A conducting
cylinder of unknown shape and conductivity scatters the incident wave in free
space and the scattered field is recorded outside. 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 GA is then employed to find out the global extreme solution of the cost
function. Numerical results demonstrated that, even when the initial guess
is far away from the exact one, good reconstruction has been obtained. In
such a case, the gradient-based methods often get trapped in a local extreme.
In addition, the effect of Gaussian noise on the reconstruction results is
investigated. Numerical results show that multiple incident directions permit
good reconstruction of shape and, to a lesser extent, conductivity in the
presence of noise in measured data.
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