• DocumentCode
    1209110
  • Title

    Design and realization of GA-optimized wire monopole and matching network with 20:1 bandwidth

  • Author

    Rogers, Shawn D. ; Butler, Chalmers M. ; Martin, Anthony Q.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Clemson Univ., SC, USA
  • Volume
    51
  • Issue
    3
  • fYear
    2003
  • fDate
    3/1/2003 12:00:00 AM
  • Firstpage
    493
  • Lastpage
    502
  • Abstract
    This paper presents the successful design and physical realization of broadband loaded wire monopoles with matching networks. The loads are parallel inductor/resistor circuits that are adjusted by means of genetic algorithm (GA) optimizers to maximize bandwidth, and the matching networks are transmission-line transformers. The micro-GA is shown to be more convenient and efficient for optimizing these loaded antenna systems than is the simple-GA. The measured voltage standing-wave ratio (VSWR) of the loaded antennas confirm broadband performance and agree with data obtained from moment method computations. Antennas having bandwidth ratios of 12.6 : 1 and 18 : 1, with measured VSWR less than 3.5 and calculated system gain greater than -4.5 dBi, are presented. Finally, an antenna system is given that has measured VSWR less than 3.0 and calculated system gain greater than -3.2 dBi over a 20 : 1 band.
  • Keywords
    antenna testing; broadband antennas; genetic algorithms; impedance matching; method of moments; monopole antennas; wire antennas; GA optimizers; VSWR; antenna measurements; bandwidth maximization; broadband loaded wire monopoles; genetic algorithm; loaded antennas; matching network; micro-GA; moment method; parallel inductor/resistor circuits; transmission-line transformers; voltage standing-wave ratio; Antenna measurements; Bandwidth; Broadband antennas; Circuits; Gain measurement; Genetic algorithms; Inductors; Loaded antennas; Resistors; Wire;
  • fLanguage
    English
  • Journal_Title
    Antennas and Propagation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-926X
  • Type

    jour

  • DOI
    10.1109/TAP.2003.809851
  • Filename
    1201326