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    Sparse electromagnetic imaging using nonlinear iterative shrinkage thresholding

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    07228176.pdf
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    Type
    Conference Paper
    Authors
    Desmal, Abdulla cc
    Bagci, Hakan cc
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Date
    2015-04-13
    Permanent link to this record
    http://hdl.handle.net/10754/576158
    
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    Abstract
    A sparse nonlinear electromagnetic imaging scheme is proposed for reconstructing dielectric contrast of investigation domains from measured fields. The proposed approach constructs the optimization problem by introducing the sparsity constraint to the data misfit between the scattered fields expressed as a nonlinear function of the contrast and the measured fields and solves it using the nonlinear iterative shrinkage thresholding algorithm. The thresholding is applied to the result of every nonlinear Landweber iteration to enforce the sparsity constraint. Numerical results demonstrate the accuracy and efficiency of the proposed method in reconstructing sparse dielectric profiles.
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    Antennas and Propagation (EuCAP), 2015 9th European Conference on
    Conference/Event name
    2015 9th European Conference on Antennas and Propagation (EuCAP)
    Additional Links
    http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=7228176&contentType=Conference+Publications
    Collections
    Conference Papers; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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