• DocumentCode
    246670
  • Title

    Fast solution of electromagnetic scattering problems with multiple excitations using the recompressed adaptive cross approximation

  • Author

    Kazempour, Mahdi ; Gurel, Levent

  • Author_Institution
    Bilkent Univ. Comput. Electromagn. Res. Center (BiLCEM), Ankara, Turkey
  • fYear
    2014
  • fDate
    6-11 July 2014
  • Firstpage
    745
  • Lastpage
    746
  • Abstract
    We present an algebraic compression technique to accelerate the computation of multiple monostatic radar cross sections of arbitrary 3-D geometries. The method uses adaptive cross approximation, followed by a recompression technique to reduce the CPU time and the memory consumption. Each scattering problem due to a single excitation is solved with the multilevel fast multipole algorithm. The numerical results demonstrate the efficiency and accuracy of the proposed method.
  • Keywords
    algebra; approximation theory; data compression; electromagnetic wave scattering; radar cross-sections; CPU time reduction; algebraic compression technique; arbitrary 3D geometry; electromagnetic scattering problems; memory consumption; multilevel fast multipole algorithm; multiple excitations; multiple monostatic radar cross sections; recompressed adaptive cross approximation technique; single excitation; Acceleration; Geometry; Interpolation; MLFMA; Matrix decomposition; Radar cross-sections;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation Society International Symposium (APSURSI), 2014 IEEE
  • Conference_Location
    Memphis, TN
  • ISSN
    1522-3965
  • Print_ISBN
    978-1-4799-3538-3
  • Type

    conf

  • DOI
    10.1109/APS.2014.6904702
  • Filename
    6904702