Image Reconstruction of a Buried PerfectlyConducting Cylinder Illuminated by Transverse Electric Waves
碩士 === 淡江大學 === 電機工程學系碩士班 === 93 === The paper presents a computational approach to the image reconstruction of a perfectly conductor cylinder illuminated by transverse electric (TE) waves. A perfectly conducting cylinder of unknown shape buried in one half-space and scatters the incident wave from...
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ndltd-TW-093TKU054420202015-10-13T11:57:25Z http://ndltd.ncl.edu.tw/handle/74968360952586115396 Image Reconstruction of a Buried PerfectlyConducting Cylinder Illuminated by Transverse Electric Waves 利用TE入射波重建掩埋完全導體之影像 Yueh-Cheng Chen 陳岳呈 碩士 淡江大學 電機工程學系碩士班 93 The paper presents a computational approach to the image reconstruction of a perfectly conductor cylinder illuminated by transverse electric (TE) waves. A perfectly conducting cylinder of unknown shape buried in one half-space and scatters the incident wave from another half-space where the scattered field is recorded. 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 steady state genetic algorithm 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 can be obtained. In such a case, the gradient-based methods often get trapped in a local extreme. In addition, the effect of different noise on the reconstruction is investigated. Chien-Ching Chiu 丘建青 2005 學位論文 ; thesis 58 zh-TW |
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碩士 === 淡江大學 === 電機工程學系碩士班 === 93 === The paper presents a computational approach to the image reconstruction of a perfectly conductor cylinder illuminated by transverse electric (TE) waves. A perfectly conducting cylinder of unknown shape buried in one half-space and scatters the incident wave from another half-space where the scattered field is recorded. 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 steady state genetic algorithm 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 can be obtained. In such a case, the gradient-based methods often get trapped in a local extreme. In addition, the effect of different noise on the reconstruction is investigated.
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author2 |
Chien-Ching Chiu |
author_facet |
Chien-Ching Chiu Yueh-Cheng Chen 陳岳呈 |
author |
Yueh-Cheng Chen 陳岳呈 |
spellingShingle |
Yueh-Cheng Chen 陳岳呈 Image Reconstruction of a Buried PerfectlyConducting Cylinder Illuminated by Transverse Electric Waves |
author_sort |
Yueh-Cheng Chen |
title |
Image Reconstruction of a Buried PerfectlyConducting Cylinder Illuminated by Transverse Electric Waves |
title_short |
Image Reconstruction of a Buried PerfectlyConducting Cylinder Illuminated by Transverse Electric Waves |
title_full |
Image Reconstruction of a Buried PerfectlyConducting Cylinder Illuminated by Transverse Electric Waves |
title_fullStr |
Image Reconstruction of a Buried PerfectlyConducting Cylinder Illuminated by Transverse Electric Waves |
title_full_unstemmed |
Image Reconstruction of a Buried PerfectlyConducting Cylinder Illuminated by Transverse Electric Waves |
title_sort |
image reconstruction of a buried perfectlyconducting cylinder illuminated by transverse electric waves |
publishDate |
2005 |
url |
http://ndltd.ncl.edu.tw/handle/74968360952586115396 |
work_keys_str_mv |
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