• DocumentCode
    2050648
  • Title

    Concentric Circular Antenna Array synthesis using a differential Invasive Weed Optimization algorithm

  • Author

    Pal, Shovon ; Basak, Abhishek ; Das, S. ; Abraham, Ajith ; Zelinka, Ivan

  • Author_Institution
    Dept. of Electron. & Telecommun. Eng., Jadavpur Univ., Kolkata, India
  • fYear
    2010
  • fDate
    7-10 Dec. 2010
  • Firstpage
    395
  • Lastpage
    400
  • Abstract
    Concentric Circular Antenna Array (CCAA) has several interesting features that makes it indispensable in mobile and communication applications. Here we have considered a uniform arrangement of elements where the inter-element spacing is kept half a wavelength. The main aim is to reduce the sidelobe levels and the primary lobe beamwidth as much as possible. Central to our design is a hybridization of two prominent metaheuristics of current interest namely the Invasive Weed Optimization (IWO) and Differential Evolution (DE). The results of the DIWO algorithm have been shown to perform better then other state-of-the-art metaheuristics like the Particle Swarm Optimization (PSO), DE and IWO.
  • Keywords
    antenna arrays; antenna theory; evolutionary computation; DIWO algorithm; concentric circular antenna array synthesis; differential evolution; differential invasive weed optimization algorithm; mobile communication application; particle swarm optimization; primary lobe beamwidth; state-of-the-art metaheuristics; Algorithm design and analysis; Antenna arrays; Antenna radiation patterns; Arrays; Indexes; Optimization; Pattern recognition; Antenna array; concentric circular arrays; differential evolution; invasive weed optimization; metaheuristics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Soft Computing and Pattern Recognition (SoCPaR), 2010 International Conference of
  • Conference_Location
    Paris
  • Print_ISBN
    978-1-4244-7897-2
  • Type

    conf

  • DOI
    10.1109/SOCPAR.2010.5686527
  • Filename
    5686527