• DocumentCode
    1717487
  • Title

    Genetically engineered dual-band fractal antennas

  • Author

    Werner, Douglas H. ; Werner, Pingjuan L.

  • Author_Institution
    Dept. of Electr. Eng., Pennsylvania State Univ., University Park, PA, USA
  • Volume
    3
  • fYear
    2001
  • Firstpage
    628
  • Abstract
    Fractal antenna engineering concepts have been successfully combined with genetic algorithms to develop a powerful design optimization tool. The genetic optimization approach developed can simultaneously optimize the geometry of a fractal antenna, locations of loads, component values of loads, and the projected length of the fractal antenna. The results suggest that a 30-55% size reduction can be achieved by optimizing the fractalization and loading of a given antenna. The knowledge gained as a result of this study is directly applicable to the design of miniature fractal antennas.
  • Keywords
    UHF antennas; antenna theory; dipole antennas; fractals; genetic algorithms; iterative methods; method of moments; multifrequency antennas; 1.225 GHz; 1.575 GHz; antenna loading; design optimization tool; dual-band fractal antennas; fractal dipole; genetic algorithms; iterated function system; method of moments; miniature antennas; Antenna accessories; Dipole antennas; Dual band; Fractal antennas; Frequency; Genetic algorithms; Genetic engineering; Geometry; Loaded antennas; Message-oriented middleware;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation Society International Symposium, 2001. IEEE
  • Conference_Location
    Boston, MA, USA
  • Print_ISBN
    0-7803-7070-8
  • Type

    conf

  • DOI
    10.1109/APS.2001.960175
  • Filename
    960175