• DocumentCode
    2512452
  • Title

    Improved Orchard-Elliott pattern synthesis algorithm by pseudo-inverse technique and genetic algorithm

  • Author

    Shavit, R. ; Levy, S.

  • Author_Institution
    Electr. Eng. Dept., Ben-Gurion Univ. of the Negev, Beer-Sheva, Israel
  • Volume
    2
  • fYear
    2000
  • fDate
    16-21 July 2000
  • Firstpage
    1042
  • Abstract
    This paper describes a procedure to improve the Orchard-Elliott (1985) synthesis algorithm for shaped radiation patterns. By far this algorithm results in the best performance for shaping radiation patterns. However, its iterative procedure occasionally suffers from singularity problems throughout the matrix inversion embedded in the algorithm. This deficiency can be overcome by using a pseudo-inverse technique. Further improvement, which reduces the dynamic range of the array current distribution, is achieved using a genetic algorithm. The improved algorithm performance is demonstrated on the synthesis of a linear array with a symmetric flat-topped radiation pattern.
  • Keywords
    antenna phased arrays; antenna radiation patterns; current distribution; genetic algorithms; linear antenna arrays; matrix inversion; shaped beam antennas; algorithm performance; array current distribution; dynamic range reduction; genetic algorithm; improved Orchard-Elliott pattern synthesis algorithm; iterative procedure; linear array synthesis; matrix inversion; phased array; pseudo-inverse technique; shaped radiation patterns; singularity problems; symmetric flat-topped radiation pattern; Current distribution; Dynamic range; Fourier series; Genetic algorithms; Iterative algorithms; Linear approximation; Phase shifters; Phased arrays; Polynomials; Symmetric matrices;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation Society International Symposium, 2000. IEEE
  • Conference_Location
    Salt Lake City, UT, USA
  • Print_ISBN
    0-7803-6369-8
  • Type

    conf

  • DOI
    10.1109/APS.2000.875400
  • Filename
    875400