• DocumentCode
    2944805
  • Title

    Applications of periodic Accelerated Cartesian Expansions to the analysis of electrically dense frequency selective structures

  • Author

    Baczewski, A.D. ; Shanker, B.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA
  • fYear
    2011
  • fDate
    3-8 July 2011
  • Firstpage
    2696
  • Lastpage
    2699
  • Abstract
    The method of Accelerated Cartesian Expansions (ACE) is an O(N) tree-based algorithm similar to the well-known Fast Multipole Method (FMM). Recent work has demonstrated the extension of this method to problems with periodic kernels, with a focus on demonstrating convergence with respect to the reconstruction of the Green´s function as well as linear scaling in the evaluation of potentials. In this work, the integration of the periodic ACE algorithm into a fast solver for the EFIE is demonstrated, including a discussion of algorithmic changes necessary to the construction of trees on periodic domains, its break-even point relative to direct methods, and a few token applications illustrating the analysis of frequency selective structures (FSS) with electrically dense unit cells. We conclude with a discussion of further extensions and applications that will be presented at the conference.
  • Keywords
    Green´s function methods; convergence; electromagnetic wave scattering; frequency selective surfaces; EFIE fast solver; Green´s function; convergence; electric field integral equations; electrically dense frequency selective structures; fast multipole method; periodic ACE algorithm; periodic accelerated Cartesian expansions; tree-based algorithm; Acceleration; Accuracy; Arrays; Frequency selective surfaces; Periodic structures; Transmission line matrix methods; Vegetation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation (APSURSI), 2011 IEEE International Symposium on
  • Conference_Location
    Spokane, WA
  • ISSN
    1522-3965
  • Print_ISBN
    978-1-4244-9562-7
  • Type

    conf

  • DOI
    10.1109/APS.2011.5997081
  • Filename
    5997081