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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/35914

    Title: 利用TE入射波重建掩埋完全導體之影像
    Other Titles: Image reconstruction of a buried perfectlyconducting cylinder illuminated by transverse electric waves
    Authors: 陳岳呈;Chen, Yueh-cheng
    Contributors: 淡江大學電機工程學系碩士班
    丘建青;Chiu, Chien-ching
    Keywords: 完全導體;遺傳演算法;半空間;TE極化電磁波;Electromagnetic imaging;Transverse electric (TE);Half-space structure;Perfect Conductor;Steady-state genetic algorithm
    Date: 2005
    Issue Date: 2010-01-11 07:19:16 (UTC+8)
    Abstract: 本論文之目的在於研究利用遺傳演算法對完全導體的影像重建問題。針對不同平面波入射的情況,就完全導體的逆散射問題進行探討。
    遺傳演算法是一種模擬自然界生物進化的搜尋法則,利用簡單的位元複製、交配及突變,可完成搜尋的程序。不論初始的猜測值為何,遺傳演算法總會收斂到整體的極值(global extreme),而非只收斂於局部極值,藉此可重建物體的形狀函數及導電率。所以在數值模擬中,即使初始的猜測值與實際值相去甚遠,我們仍可求得精準的數值解,成功的重建出物體形狀函數與導電率。而以微分為基礎求取極值的方法(calculus-based method),常會陷入區域極值(local extreme)的陷阱裡。最後將電磁成像的結果與原先假設者做比較,藉以驗證並改進電磁成像理論。
    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.
    Appears in Collections:[電機工程學系暨研究所] 學位論文

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