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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/112837


    Title: Dielectric objects reconstruction by combining subspace-based algorithm and randomly global optimization algorithm
    Authors: Chien-Ching Chiu;Chien-Yu Yen;Gang-Ze Lee
    Date: 2017-08-31
    Issue Date: 2018-03-02 12:14:25 (UTC+8)
    Abstract: This paper discusses an inverse scattering problem for the
    reconstruction of permittivity distribution of two-dimensional
    dielectric objects. Based on the boundary condition and the measured
    scattered field, a set of nonlinear integral equation is derived and
    the imaging problem is reformulated into optimization problem. We
    solved the problem by combining subspace-based algorithm and
    self-adaptive dynamic differential evolution (SADDE). SADDE can
    process numerous unknowns of electromagnetic imaging problems.
    Different scatterers and environment have used to verify the stability
    of subspace-based algorithm and SADDE. We also compare genetic
    algorithm (GA) to show the robustness and the searching speed of
    SADDE. Numerical results show that the permittivity distribution of
    the dielectric objects is well reconstructed by SADDE.
    Relation: Journal of Electromagnetic Waves and Applications 32, p.77-91
    DOI: 10.1080/09205071.2017.1369905
    Appears in Collections:[電機工程學系暨研究所] 期刊論文

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