• DocumentCode
    1469197
  • Title

    Scattering from planar structures containing small features using the adaptive integral method (AIM)

  • Author

    Bindiganavale, Sunil S. ; Volakis, John L. ; Anastassiu, Hristos

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
  • Volume
    46
  • Issue
    12
  • fYear
    1998
  • fDate
    12/1/1998 12:00:00 AM
  • Firstpage
    1867
  • Lastpage
    1878
  • Abstract
    Fast integral equation algorithms such as the adaptive integral method (AIM) have been demonstrated to reduce memory and execution time associated with moment-method solutions for arbitrarily shaped three-dimensional (3-D) geometries. In this paper, we examine the efficiency of AIM in modeling planar structures that contain small and intricate details as is the case with spirals and slot antennas. Such geometries require high tessellation due to the inclusion of very small features resulting in a large number of unknowns. AIM with its capability to translate the original grid to an equivalent sparser uniform grid is uniquely suited for the analysis of such geometries. In the latter part of the paper, we demonstrate the application of AIM in connection with a finite-element boundary-integral formulation for cavity-backed antennas
  • Keywords
    boundary integral equations; electromagnetic wave scattering; finite element analysis; slot antennas; spiral antennas; 3D geometries; adaptive integral method; cavity-backed antennas; efficiency; execution time reduction; fast integral equation algorithms; finite-element boundary-integral; memory reduction; moment-method solutions; planar structures scattering; slot antennas; small features; spirals; uniform grid; Acceleration; Central Processing Unit; Finite element methods; Geometry; Integral equations; Iterative methods; Scattering; Slot antennas; Spirals; Transmission line matrix methods;
  • fLanguage
    English
  • Journal_Title
    Antennas and Propagation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-926X
  • Type

    jour

  • DOI
    10.1109/8.743831
  • Filename
    743831