教師資料查詢 | 類別: 期刊論文 | 教師: 丘建青 Chiu Chien-ching (瀏覽個人網頁)

標題:Image Reconstruction of Perfectly Conducting Objects by a Cascaded Method
學年101
學期2
出版(發表)日期2013/02/01
作品名稱Image Reconstruction of Perfectly Conducting Objects by a Cascaded Method
作品名稱(其他語言)
著者Chiu, Chien-Ching; Li, Jhuo-Ru
單位淡江大學電機工程學系
出版者Philadelphia: Elsevier Inc.
著錄名稱、卷期、頁數Applied Mathematics and Computation 219(11), pp.6093–6105
摘要In this paper, we propose a method, which combines a particle swarm optimization (PSO) algorithm with a Newton–Kantorovitch algorithm for image reconstruction of perfectly conducting objects. First, the inverse problem is recast as a global nonlinear optimization problem, which is solved by a PSO. Then, the solution obtained by the PSO is taken as an initial guess for the Newton–Kantorovitch algorithm to obtain the more accuracy solution in a few iterations.

The inversion algorithm which is based on the rigorous mathematics makes use of the received scattered field and appropriate boundary condition to derive a set of nonlinear integral equations. The moment method is used to transform the nonlinear integral equations into matrix form. Then the pseudoinverse transformation is employed to overcome the ill-posedness to obtain a convergent and stable solution.

The particle swarm optimization algorithm is employed to find out the global extreme solution of the object function. Numerical results show that the performance of this cascaded method is better than the individual PSO and the individual Newton–Kantorovitch algorithm. Satisfactory reconstruction has been obtained by using this cascaded method.
關鍵字Inverse scattering; Microwave image; Particle swarm optimization; Newton–Kantorovitch algorithm; Cascaded method
語言英文(美國)
ISSN0096-3003;1873-5649
期刊性質國外
收錄於SCI
產學合作
通訊作者Chiu, Chien-Ching
審稿制度
國別美國
公開徵稿
出版型式電子版;紙本
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