• DocumentCode
    3394927
  • Title

    Design of wire bow-tie antenna for near field imaging using Genetic Algorithms

  • Author

    Chung, S.W.J. ; Abd-Alhameed, R.A.A. ; Excell, P.S.

  • Author_Institution
    Mobile & Satellite Commun. Res. Centre, Univ. of Bradford, Bradford
  • fYear
    2008
  • fDate
    17-18 March 2008
  • Firstpage
    317
  • Lastpage
    320
  • Abstract
    The potentially broad application area in engineering design using genetic algorithm (GA) has been widely adopted by many researchers due to its high consistency and accuracy. Presented here is the initial design of a wideband non-dispersive wire bow-tie antenna using GA for breast cancer detection. Similar to the antenna used in a ground penetrating radar (GPR), the ultimate goal of this design is to achieve minimal late-time ringing but at higher frequencies (operate from 4 to 8 GHz) which is desire to penetrate human tissue for near field imaging. An optimum result with the half antenna length of 38.6 mm and a total flare angle of 70deg is acquired. Resistively loading method was also implemented to reduce minimal ringing cause by the antenna internal reflections.
  • Keywords
    biomedical imaging; bow-tie antennas; genetic algorithms; ground penetrating radar; antenna internal reflection; breast cancer detection; genetic algorithm; ground penetrating radar; half antenna length; near field imaging; wire bow-tie antenna; Algorithm design and analysis; Breast cancer; Broadband antennas; Cancer detection; Design engineering; Genetic algorithms; Genetic engineering; Ground penetrating radar; Radar detection; Wire; Ground Penetrating Radar; Near Field Imaging; Wideband Application; Wire Bow-tie Antenna;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation Conference, 2008. LAPC 2008. Loughborough
  • Conference_Location
    Loughborough
  • Print_ISBN
    978-1-4244-1893-0
  • Electronic_ISBN
    978-1-4244-1894-7
  • Type

    conf

  • DOI
    10.1109/LAPC.2008.4516930
  • Filename
    4516930