• DocumentCode
    2189394
  • Title

    Pattern synthesis for multi-feed reflector antenna using IWO algorithm

  • Author

    Foudazi, A. ; Mallahzadeh, A.R. ; Taheri, M. M Samadi

  • Author_Institution
    Electr. & Electron. Eng. Dept., Shahed Univ., Tehran, Iran
  • fYear
    2012
  • fDate
    26-30 March 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper, a new optimization algorithm to design shaped beam antenna is proposed. It is shown that by using offset parabolic reflector antenna and a linear array of horn antennas with one-wavelength spacing in focal point, Invasive Weed Optimization (IWO) algorithm can be used for amplitude and/or phase of source antennas to provide desired cosecant squared radiation patterns. To achieve a simple cosecant squared radiation pattern, amplitudes and phases of 11 source antennas (22 parameters) are optimized with no constraint by IWO and the results are compared with Particle Swarm Optimization (PSO) algorithm. Convergence diagram and radiation pattern results confirm the capability of IWO algorithm in shaped beam antenna design.
  • Keywords
    antenna radiation patterns; convergence; horn antennas; linear antenna arrays; offset reflector antennas; optimisation; reflector antenna feeds; IWO algorithm; antenna amplitude; antenna phase; convergence diagram; cosecant squared radiation patterns; focal point; invasive weed optimization algorithm; linear horn antenna array; multifeed reflector antenna; offset parabolic reflector antenna; one-wavelength spacing; pattern synthesis; shaped beam antenna design; Algorithm design and analysis; Antenna radiation patterns; Convergence; Horn antennas; Optimization; Reflector antennas; Offset parabolic reflector antenna; invasive weed optimzation (IWO); multi-feed reflector; particle swarm optimization (pso); shaped beam;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation (EUCAP), 2012 6th European Conference on
  • Conference_Location
    Prague
  • Print_ISBN
    978-1-4577-0918-0
  • Electronic_ISBN
    978-1-4577-0919-7
  • Type

    conf

  • DOI
    10.1109/EuCAP.2012.6206381
  • Filename
    6206381