English  |  正體中文  |  简体中文  |  Items with full text/Total items : 49287/83828 (59%)
Visitors : 7153794      Online Users : 86
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/987654321/82995


    Title: Shape Reconstruction of 2D Perfectly Conducting Cylinder Targets Using the Particle Swarm Optimization
    Authors: Chiu, C. C.;Sun, C. H.;Fan, Y. S.
    Contributors: 淡江大學電機工程學系
    Keywords: microwave imaging;inverse scattering;particle swarm optimisation;medical imaging
    Date: 2012-04
    Issue Date: 2013-03-13 03:07:07 (UTC+8)
    Publisher: Maney Publishing
    Abstract: The particle swarm optimisation (PSO) for shape reconstruction of perfect conducting cylinder (PEC) buried in a half-space is presented. Assume that a conducting cylinder of unknown shape is buried in one half-space and scatters the field incident from another half-space where the scattered filed is measured. 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 optimisation problem. The inverse problem is resolved by an optimisation approach, and the global searching scheme PSO is then employed to search the parameter space. Numerical results demonstrate that even when the initial guess is far away from the exact one, good reconstruction can be obtained by using PSO both with and without the additive Gaussian noise.
    Relation: Imaging Science Journal 60(2), pp.83-89
    DOI: 10.1179/1743131X11Y.0000000006
    Appears in Collections:[電機工程學系暨研究所] 期刊論文

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML165View/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