• DocumentCode
    1182228
  • Title

    Efficient solution of EFIE via low-rank compression of multilevel predetermined interactions

  • Author

    Gope, Dipanjan ; Jandhyala, Vikram

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Washington, Seattle, WA, USA
  • Volume
    53
  • Issue
    10
  • fYear
    2005
  • Firstpage
    3324
  • Lastpage
    3333
  • Abstract
    This paper describes the predetermined interaction list oct-tree (PILOT) algorithm and its application in expediting the solution of full-wave electric field integral equation (EFIE)-based scattering problems for three-dimensional arbitrarily shaped conductors. PILOT combines features of the fast multipole method (FMM) and QR decomposition-based matrix compression techniques to optimize setup times, solve times, and memory requirements. The method is kernel independent and stable for electrically small structures unlike traditional FMM. The novel features of the algorithm, namely the mixed potential compression scheme and the hierarchical multilevel predetermined matrix structure are explained in detail. A complexity estimate is presented to demonstrate the scaling in time and memory requirements. Examples exhibiting the accuracy and the time and memory performances are also presented. Finally, a quantitative study is included to address the expected but gradual degradation of QR-based compression techniques for electrically large structures.
  • Keywords
    computational complexity; computational electromagnetics; conducting bodies; electric field integral equations; electromagnetic wave scattering; matrix decomposition; octrees; radar cross-sections; FMM; QR decomposition; RCS computation; complexity estimation; electric field integral equation; electrically small structure; fast multipole method; full-wave EFIE; low-rank compression; matrix compression technique; mixed potential compression scheme; multilevel PILOT algorithm; predetermined interaction list oct-tree; radar cross section; scattering problem; three-dimensional arbitrarily shaped conductor; time scaling; Biomedical computing; Conductors; Degradation; Electromagnetic compatibility; Electromagnetic scattering; Integral equations; Iterative algorithms; Matrix decomposition; Radar cross section; Radar scattering; Fast solver; integral equations; low-rank compression; radar cross section (RCS) computations;
  • fLanguage
    English
  • Journal_Title
    Antennas and Propagation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-926X
  • Type

    jour

  • DOI
    10.1109/TAP.2005.856350
  • Filename
    1514589