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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/89160


    Title: Time Domain Microwave Imaging for a Metallic Cylinder by Using Evolutionary Algorithms
    Authors: Sun, C. H.;Chiu, Chien-Ching;Chen, Chern-Hwa
    Contributors: 淡江大學電機工程學系
    Keywords: time domain inverse scattering;subgridding FDTD;asynchronous particle swarm optimisation (APSO);dynamic differential evolution (DDE);finite difference time domain (FDTD);non-uniform steady state genetic algorithm (NU-SSGA)
    Date: 2013-01
    Issue Date: 2013-05-22 14:27:45 (UTC+8)
    Publisher: Leeds: Maney Publishing
    Abstract: This paper presents the studies of time domain inverse scattering for a metallic cylinder based on the finite difference time domain (FDTD) method and the evolutionary algorithms (EAs). For the forward scattering, the FDTD method is employed to calculate the scattered E fields. Base on the scattering fields, these inverse scattering problems are transformed into optimisation problem. The idea is to perform the image reconstruction by utilisation of some optimisation schemes to minimise the discrepancy between the measured and calculated scattered field data. They are the asynchronous particle swarm optimisation (APSO), dynamic differential evolution (DDE) and the non-uniform steady state genetic algorithm (NU-SSGA). The suitability and efficiency of applying the above methods for microwave imaging of a two-dimensional metallic cylinder are examined. Numerical results show that good reconstruction can be obtained by all optimisation methods. However, the DDE outperform the NU-SSGA and APSO regarding the reconstruction accuracy and the convergent speed in terms of the number of the objective function calls. In addition, the effects of Gaussian noise on the reconstruction results are investigated.
    Relation: The Imaging Science Journal 61(1), pp.3-12
    DOI: 10.1179/1743131X11Y.0000000056
    Appears in Collections:[電機工程學系暨研究所] 期刊論文

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