• DocumentCode
    3849508
  • Title

    Multiscale Compressed Block Decomposition for Fast Direct Solution of Method of Moments Linear System

  • Author

    Alex Heldring;Juan M. Rius;José M. Tamayo;Josep Parr?n;Eduard Ubeda

  • Author_Institution
    AntennaLab, Dept. of Signal Processing and Telecommunications, Universitat Politecnica de Catalunya, Barcelona, Spain
  • Volume
    59
  • Issue
    2
  • fYear
    2011
  • Firstpage
    526
  • Lastpage
    536
  • Abstract
    The multiscale compressed block decomposition algorithm (MS-CBD) is presented for highly accelerated direct (non iterative) solution of electromagnetic scattering and radiation problems with the method of moments (MoM). The algorithm is demonstrated to exhibit N2 computational complexity and storage requirements scaling with N1.5, for electrically large objects. Several numerical examples illustrate the efficiency of the method, in particular for problems with multiple excitation vectors. The largest problem presented in this paper is the monostatic RCS of the NASA almond at 50 GHz, for one thousand incidence angles, discretized using 442,089 RWG basis functions. Being entirely algebraic, MS-CBD is independent of the Greens function of the problem.
  • Keywords
    "Matrix decomposition","Impedance","Partitioning algorithms","Symmetric matrices","Moment methods","Iterative methods","Geometry"
  • Journal_Title
    IEEE Transactions on Antennas and Propagation
  • Publisher
    ieee
  • ISSN
    0018-926X
  • Type

    jour

  • DOI
    10.1109/TAP.2010.2096385
  • Filename
    5659467