• DocumentCode
    1468310
  • Title

    Optimised 2D multi-resolution method of moment for printed antenna array modelling

  • Author

    Loison, R. ; Gillard, R. ; Citerne, J. ; Piton, G. ; Legay, H.

  • Author_Institution
    URER, Inst. Nat. des Sci. Appliques, Rennes, France
  • Volume
    148
  • Issue
    1
  • fYear
    2001
  • fDate
    6/23/1905 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Modelling is presented of microstrip antenna arrays with an optimised 2D multi-resolution method of moment (MRMoM). A Chui-Haar 2D multi-resolution basis is used for the expansion of surface currents, and a pseudo-Galerkin scheme is introduced to speed up the algorithm. It is shown that, for large structures, the MRMoM generates sparse linear systems, which allows a significant reduction of CPU time and memory storage. The optimisation of a physical a priori criterion is presented. With this criterion, it is possible to predict which elements of the generalised impedance matrix can be neglected: thus for the first time the MoM matrix filling time is really reduced. The fast wavelet transform is also exploited for the computation of the non-negligible matrix elements. Theoretical results involving microstrip antenna arrays are presented and compared with experiments
  • Keywords
    Galerkin method; antenna radiation patterns; impedance matrix; method of moments; microstrip antenna arrays; optimisation; sparse matrices; wavelet transforms; Chui-Haar 2D multi-resolution basis; MRMoM; MoM matrix filling time; a priori criterion; fast wavelet transform; generalised impedance matrix; microstrip antenna arrays; nonnegligible matrix elements; optimised 2D multi-resolution method of moment; printed antenna array modelling; pseudo-Galerkin scheme; sparse linear systems; surface currents;
  • fLanguage
    English
  • Journal_Title
    Microwaves, Antennas and Propagation, IEE Proceedings
  • Publisher
    iet
  • ISSN
    1350-2417
  • Type

    jour

  • DOI
    10.1049/ip-map:20010228
  • Filename
    917732