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Image reconstruction for a partially immersed perfectly conducting cylinder using the steady state genetic algorithm
Author(s) -
Li ChingLieh,
Chen ShaoHon,
Yang ChihMing,
Chiu ChienChing
Publication year - 2004
Publication title -
radio science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.371
H-Index - 84
eISSN - 1944-799X
pISSN - 0048-6604
DOI - 10.1029/2002rs002742
Subject(s) - cylinder , genetic algorithm , nonlinear system , boundary (topology) , space (punctuation) , mathematics , steady state (chemistry) , algorithm , boundary value problem , half space , mathematical analysis , optics , physics , geometry , mathematical optimization , computer science , chemistry , quantum mechanics , operating system
This paper presents a computational approach to the imaging of a partially immersed perfectly conducting cylinder by the steady state genetic algorithm. A conducting cylinder of unknown shape scatters the incident transverse magnetic (TM) wave in free space while the scattered field is recorded in free space. 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. An improved steady state genetic algorithm is employed to search for the global extreme solution. Numerical results demonstrate that, even when the initial guess is far away from the exact one, good reconstruction can be obtained. Numerical results also show that the reconstructed image in the free space area is better than that in the medium area.