• DocumentCode
    823532
  • Title

    Multi-objective genetic optimization of Yagi-Uda arrays with additional parasitic elements

  • Author

    Varlamos, Pantelis K. ; Papakanellos, Panagiotis J. ; Panagiotou, S.C. ; Capsalis, Christos N.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Nat. Tech. Univ. of Athens, Greece
  • Volume
    47
  • Issue
    4
  • fYear
    2005
  • Firstpage
    92
  • Lastpage
    97
  • Abstract
    The,design of modified Yagi-Uda arrays with additional parasitic elements in the area of the radiating dipole, acting either as reflectors or directors, is presented. The genetic algorithms are employed, and various objective functions concerning gain, front-to-back ratio, and the latter combined with desired input impedance, are examined. Comparisons are made among the modified and conventional Yagi-Uda configurations for different weighting coefficients of the fitness functions. The modified Yagi-Uda array outperforms the conventional Yagi-Uda array, because it achieves higher performance standards over an extended bandwidth around 2.4 GHz.
  • Keywords
    Yagi antenna arrays; antenna radiation patterns; dipole antenna arrays; genetic algorithms; reflector antennas; Yagi-Uda arrays; directors; genetic algorithms; multiobjective genetic optimization; parasitic elements; radiating dipole; reflectors; Antenna arrays; Bandwidth; Design optimization; Directive antennas; Genetic algorithms; Impedance matching; Materials science and technology; Optimization methods; Wire; Wireless LAN;
  • fLanguage
    English
  • Journal_Title
    Antennas and Propagation Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1045-9243
  • Type

    jour

  • DOI
    10.1109/MAP.2005.1589885
  • Filename
    1589885