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    On the mixed discretization of the time domain magnetic field integral equation

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    Type
    Conference Paper
    Authors
    Ulku, Huseyin Arda cc
    Bogaert, Ignace
    Cools, Kristof
    Andriulli, Francesco P.
    Bagci, Hakan cc
    KAUST Department
    Computational Electromagnetics Laboratory
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Physical Science and Engineering (PSE) Division
    Date
    2012-09
    Permanent link to this record
    http://hdl.handle.net/10754/564598
    
    Metadata
    Show full item record
    Abstract
    Time domain magnetic field integral equation (MFIE) is discretized using divergence-conforming Rao-Wilton-Glisson (RWG) and curl-conforming Buffa-Christiansen (BC) functions as spatial basis and testing functions, respectively. The resulting mixed discretization scheme, unlike the classical scheme which uses RWG functions as both basis and testing functions, is proper: Testing functions belong to dual space of the basis functions. Numerical results demonstrate that the marching on-in-time (MOT) solution of the mixed discretized MFIE yields more accurate results than that of classically discretized MFIE. © 2012 IEEE.
    Citation
    Ulku, H. A., Bogaert, I., Cools, K., Andriulli, F. P., & Bagci, H. (2012). On the mixed discretization of the time domain magnetic field integral equation. 2012 International Conference on Electromagnetics in Advanced Applications. doi:10.1109/iceaa.2012.6328745
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    2012 International Conference on Electromagnetics in Advanced Applications
    Conference/Event name
    2012 14th International Conference on Electromagnetics in Advanced Applications, ICEAA 2012
    ISBN
    9781467303354
    DOI
    10.1109/ICEAA.2012.6328745
    ae974a485f413a2113503eed53cd6c53
    10.1109/ICEAA.2012.6328745
    Scopus Count
    Collections
    Conference Papers; Physical Science and Engineering (PSE) Division; Electrical and Computer Engineering Program; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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