• DocumentCode
    1536465
  • Title

    Genetically engineered multiband fractal antennas

  • Author

    Werner, D.H. ; Werner, P.L. ; Church, K.H.

  • Author_Institution
    Dept. of Electr. Eng., Pennsylvania State Univ., University Park, PA, USA
  • Volume
    37
  • Issue
    19
  • fYear
    2001
  • fDate
    9/13/2001 12:00:00 AM
  • Firstpage
    1150
  • Lastpage
    1151
  • Abstract
    Fractal antenna engineering concepts have been successfully combined with genetic algorithms to develop a powerful design optimisation tool. The genetic optimisation approach developed can simultaneously optimise the geometry of a fractal antenna, locations of loads, component values of loads, and projected length of the fractal antenna. The results suggest that a 30 to 55% size reduction can be achieved by optimising the fractalisation of a given antenna. The knowledge gained from this study is directly applicable to the design of miniature multiband fractal antennas
  • Keywords
    antenna theory; dipole antennas; fractals; genetic algorithms; method of moments; multifrequency antennas; design optimisation tool; genetic algorithms; genetically engineered fractal antennas; geometry optimisation; iterated function system; load locations; miniature fractal antennas; multiband fractal antennas; projected length; size reduction;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:20010802
  • Filename
    953314