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    A sparse electromagnetic imaging scheme using nonlinear landweber iterations

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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
    2015-10-26
    Permanent link to this record
    http://hdl.handle.net/10754/621303
    
    Metadata
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    Abstract
    Development and use of electromagnetic inverse scattering techniques for imagining sparse domains have been on the rise following the recent advancements in solving sparse optimization problems. Existing techniques rely on iteratively converting the nonlinear forward scattering operator into a sequence of linear ill-posed operations (for example using the Born iterative method) and applying sparsity constraints to the linear minimization problem of each iteration through the use of L0/L1-norm penalty term (A. Desmal and H. Bagci, IEEE Trans. Antennas Propag, 7, 3878–3884, 2014, and IEEE Trans. Geosci. Remote Sens., 3, 532–536, 2015). It has been shown that these techniques produce more accurate and sharper images than their counterparts which solve a minimization problem constrained with smoothness promoting L2-norm penalty term. But these existing techniques are only applicable to investigation domains involving weak scatterers because the linearization process breaks down for high values of dielectric permittivity.
    Citation
    Desmal A, Bagci H (2015) A sparse electromagnetic imaging scheme using nonlinear landweber iterations. 2015 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium). Available: http://dx.doi.org/10.1109/USNC-URSI.2015.7303345.
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    2015 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium)
    Conference/Event name
    USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2015
    DOI
    10.1109/USNC-URSI.2015.7303345
    ae974a485f413a2113503eed53cd6c53
    10.1109/USNC-URSI.2015.7303345
    Scopus Count
    Collections
    Conference Papers; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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