English  |  正體中文  |  简体中文  |  Items with full text/Total items : 49287/83828 (59%)
Visitors : 7150554      Online Users : 46
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/76423


    Title: Image Reconstruction of a Two-dimensional Periodic Imperfect Conductor by the Genetic Algorithm
    Authors: Chiu, Chien-ching;Li, Ching-lieh;Ho, Cheng-shun
    Contributors: 淡江大學電機工程學系
    Keywords: Periodic Conducting Scatterer;Inverse Problem;Genetic Algorithm
    Date: 2003-01
    Issue Date: 2012-05-09 15:52:50 (UTC+8)
    Publisher: Amsterdam: IOS Press
    Abstract: We consider the inverse problem of determining both the shape and the conductivity of a
    two-dimensional periodic conducting scatterer from knowledge of the far-field pattern of TM waves by solving the ill posed nonlinear equation. 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 genetic algorithm is then employed to find out the global extreme
    solution of the object function. As a result, the shape and the conductivity of the conductor can be obtained. Numerical results are given to demonstrate that even in the presence of noise, good reconstruction has been obtained.
    Relation: International Journal of Applied Electromagnetics and Mechanics 17(4), pp.301-311
    Appears in Collections:[電機工程學系暨研究所] 期刊論文

    Files in This Item:

    File Description SizeFormat
    1383-5416_17(4)p301-311.pdf2175KbAdobe PDF133View/Open
    index.html0KbHTML180View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - Feedback