• DocumentCode
    470702
  • Title

    On the Design of a Thin-Wire Bow-Tie Antenna for GPR using Evolutionary Optimization Algorithms

  • Author

    de Jong Van Coevorden, C.M. ; Pantoja, M.F. ; Garcia, S.G. ; Bretones, A.R. ; Palmer, K. ; Martin, Rafael G.

  • Author_Institution
    kFacultad de Cienc., Univ. of Granada, Granada, Spain
  • fYear
    2007
  • fDate
    11-16 Nov. 2007
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this communication we compare the performance of classical genetic algorithms (cGA) with a new type of evolutionary algorithms named hybrid Taguchi genetic algorithms (HTGA) when they are applied to the design of a a new ultrawideband (UWB) thin-wire bow-tie antenna for GPR applications. The broadband performance of the antenna is achieved by resistive loading and by optimizing the number of wires and the angular distances between those wires.
  • Keywords
    Taguchi methods; bow-tie antennas; genetic algorithms; ground penetrating radar; radar antennas; ultra wideband antennas; wire antennas; GPR; broadband antenna performance; evolutionary optimization algorithm; hybrid Taguchi genetic algorithm; resistive loading; ultrawideband thin-wire bow-tie antenna; Genetic Algorithms; antenna design; ground penetrating radar; optimization techniques;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Antennas and Propagation, 2007. EuCAP 2007. The Second European Conference on
  • Conference_Location
    Edinburgh
  • Print_ISBN
    978-0-86341-842-6
  • Type

    conf

  • Filename
    4458384