• DocumentCode
    2326892
  • Title

    Application of the multilevel field interpolation algorithm to large PEC structures in 2-D

  • Author

    Espinosa, Hugo G. ; Heldring, Alex ; Rius, Juan M.

  • Author_Institution
    Tech. Univ. of Catalonia, Barcelona
  • fYear
    2007
  • fDate
    9-15 June 2007
  • Firstpage
    5603
  • Lastpage
    5606
  • Abstract
    The application of the Method of Moments to the analysis of large PEC structures is difficult due to the computational requirements when the structure is discretized in a high number of unknowns. To solve this problem we propose the Multilevel Field Interpolation Algorithm (MLFIA) based on a source domain decomposition that permits a fast matrix-vector multiplication within the iterative solution that reduces the computational complexity and the memory requirements to O(NlogN). The execution of the algorithm is composed of five steps that follow the computation of the field evaluated at a set of evaluation points within the observation domain, the extraction of the Green´s function, the interpolation of the fields, the restoration of the Green´s function and finally the aggregation of the fields. The algorithm is applied to the fast solution of 2D problems. The generalization to 3D problems is straightforward.
  • Keywords
    Green´s function methods; computational complexity; electric fields; interpolation; iterative methods; matrix decomposition; 2D problems; Green´s function; computational complexity; fast matrix-vector multiplication; iterative solution; large PEC structures; method of moments; multilevel field interpolation algorithm; source domain decomposition; Algorithm design and analysis; Antenna theory; Green´s function methods; Integral equations; Interpolation; Iterative algorithms; Matrix decomposition; Moment methods; Scattering; Signal analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation Society International Symposium, 2007 IEEE
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    978-1-4244-0877-1
  • Electronic_ISBN
    978-1-4244-0878-8
  • Type

    conf

  • DOI
    10.1109/APS.2007.4396819
  • Filename
    4396819