• DocumentCode
    2772773
  • Title

    Particle swarm optimization for multi-band handset antenna designs: A hybrid real-binary implementation

  • Author

    Jin, Nanbo ; Rahmat-Samii, Yahya

  • Author_Institution
    Dept. of Electr. Eng., Univ. of California Los Angeles, Los Angeles, CA
  • fYear
    2008
  • fDate
    5-11 July 2008
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The hybrid real-binary particle swarm optimization (HPSO) algorithm is applied in this paper to design a dual-band handset patch antenna operating at 1.8 GHz and 2.4 GHz. The unique hybrid representation of candidate antenna designs using real and binary variables enables the optimizer to benefit from the advantages of both continuous and discrete optimization techniques. With the fitness function evaluated by a MoM-based full-wave simulator, the design is accomplished in a quite limited space with a dimension of 0.23 lambdagtimes0.13 lambdag at 1.8 GHz. Measurement results demonstrate that the optimal antenna has satisfactory impedance matching and radiation characteristics at desired operating frequencies.
  • Keywords
    UHF antennas; antenna radiation patterns; mobile antennas; mobile handsets; multifrequency antennas; particle swarm optimisation; MoM-based full-wave simulator; continuous optimization technique; discrete optimization technique; dual-band handset patch antenna; fitness function; frequency 1.8 GHz; frequency 2.4 GHz; hybrid real-binary particle swarm optimization; impedance matching; multi-band handset antenna design; radiation patterns; Algorithm design and analysis; Antenna measurements; Design optimization; Dual band; Frequency measurement; Impedance matching; Impedance measurement; Particle swarm optimization; Patch antennas; Telephone sets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation Society International Symposium, 2008. AP-S 2008. IEEE
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    978-1-4244-2041-4
  • Electronic_ISBN
    978-1-4244-2042-1
  • Type

    conf

  • DOI
    10.1109/APS.2008.4619637
  • Filename
    4619637