• DocumentCode
    3168155
  • Title

    3G triband probe fed printed eccentric spiral antenna for nomadic wireless devices using optimal convergence for Pareto ranked genetic algorithm

  • Author

    Edwards, R.M. ; Cook, G.G.

  • Author_Institution
    Sheffield Univ., UK
  • Volume
    2
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    537
  • Abstract
    The design of a printed eccentric spiral antenna optimised for 3G nomadic devices such as personal data assistants is discussed. An optimum chromosome selection method for chromosomes that constitute points on a Pareto surface of 3 dimensions is used in a genetic algorithm (GA). The GA is used with a method of moments (MoM) technique and small populations of less than 25 and seeks to synthesize a single arm spiral antenna suitable for use at UMTS, GSM1800 and GSM900 frequencies. Two Pareto ranking algorithms are explored and their resulting Pareto optimal chromosome sets compared using a novel false Pareto vector magnitude metric. A suggested strategy for optimisation of triband antennas using a GA is presented
  • Keywords
    antenna feeds; cellular radio; convergence of numerical methods; genetic algorithms; method of moments; microstrip antennas; mobile antennas; multifrequency antennas; notebook computers; probes; spiral antennas; 3G nomadic devices; 3G triband probe fed spiral antenna; GSM1800; GSM900; MoM; Pareto optimal chromosome sets; Pareto ranked genetic algorithm; Pareto ranking algorithms; Pareto surface; UMTS; false Pareto vector magnitude metric; genetic algorithm; method of moments; nomadic wireless devices; optimal convergence; optimum chromosome selection method; personal data assistants; printed eccentric spiral antenna; single arm spiral antenna;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Antennas and Propagation, 2001. Eleventh International Conference on (IEE Conf. Publ. No. 480)
  • Conference_Location
    Manchester
  • Print_ISBN
    0-85296-733-0
  • Type

    conf

  • DOI
    10.1049/cp:20010345
  • Filename
    928070