• DocumentCode
    3538367
  • Title

    Applying the CBFM-enhanced domain Green´s function method to the analysis of large disjoint subarray antennas

  • Author

    Ludick, D.J. ; Maaskant, R. ; Mittra, Raj ; Jakobus, Ulrich ; Davidson, D.B.

  • Author_Institution
    Dept. Electr. & Electron. Eng., Univ. Stellenbosch, Stellenbosch, South Africa
  • fYear
    2013
  • fDate
    9-13 Sept. 2013
  • Firstpage
    94
  • Lastpage
    97
  • Abstract
    This paper considers the efficient numerical analysis of large, finite antenna arrays comprising of disjoint subarrays by using the Domain Green´s Function Method (DGFM) [1] in conjunction with the Characteristic Basis Function Method (CBFM) [2]. In the CBFM-enhanced DGFM we consider large arrays consisting of multiple disjoint subarrays and impose the infinite array type assumption, i.e. that the currents on subarrays are identical except for a complex-valued scaling factor. Scan impedance matrices are then constructed for each of the subarrays from the block-partitioned CBFM reduced impedance matrix which account for the mutual coupling in the array environment. Runtime and memory usage scale efficiently for the CBFM-enhanced DGFM as we limit the computational complexity to that required to analyse a single subarray. The paper discusses the hybridisation of the DGFM with the CBFM, and illustrates the results of applying the proposed solution technique to an example consisting of a large finite array of disjoint subarrays.
  • Keywords
    Green´s function methods; antenna arrays; impedance matrix; CBFM; CBFM-enhanced domain Green function method; DGFM; characteristic basis function method; complex-valued scaling factor; computational complexity; finite antenna arrays; large disjoint subarray antenna analysis; multiple disjoint subarrays; scan impedance matrices; Antenna arrays; Equations; Impedance; Mathematical model; Method of moments; Mutual coupling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electromagnetics in Advanced Applications (ICEAA), 2013 International Conference on
  • Conference_Location
    Torino
  • Print_ISBN
    978-1-4673-5705-0
  • Type

    conf

  • DOI
    10.1109/ICEAA.2013.6632195
  • Filename
    6632195