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    Three-dimensional sparse electromagnetic imaging accelerated by projected steepest descent

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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
    Electrical Engineering Program
    Date
    2016-11-02
    Online Publication Date
    2016-11-02
    Print Publication Date
    2016-06
    Permanent link to this record
    http://hdl.handle.net/10754/622487
    
    Metadata
    Show full item record
    Abstract
    An efficient and accurate scheme for solving the nonlinear electromagnetic inverse scattering problem on three-dimensional sparse investigation domains is proposed. The minimization problem is constructed in such a way that the data misfit between measurements and scattered fields (which are expressed as a nonlinear function of the contrast) is constrained by the contrast's first norm. The resulting minimization problem is solved using nonlinear Landweber iterations accelerated using a steepest descent algorithm. A projection operator is applied at every iteration to enforce the sparsity constraint by thresholding the result of that iteration. Steepest descent algorithm ensures accelerated and convergent solution by utilizing larger iteration steps selected based on a necessary B-condition.
    Citation
    Desmal A, Bagci H (2016) Three-dimensional sparse electromagnetic imaging accelerated by projected steepest descent. 2016 IEEE International Symposium on Antennas and Propagation (APSURSI). Available: http://dx.doi.org/10.1109/APS.2016.7696222.
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    2016 IEEE International Symposium on Antennas and Propagation (APSURSI)
    Conference/Event name
    2016 IEEE Antennas and Propagation Society International Symposium, APSURSI 2016
    DOI
    10.1109/APS.2016.7696222
    Additional Links
    http://ieeexplore.ieee.org/document/7696222/
    ae974a485f413a2113503eed53cd6c53
    10.1109/APS.2016.7696222
    Scopus Count
    Collections
    Conference Papers; Electrical Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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