• DocumentCode
    1697587
  • Title

    Constrained performance comparison of antenna synthesis using swarm and ecology techniques

  • Author

    LalithaManohar, G. ; Praveen Kumar, A.T. ; Subhashini, K.R.

  • Author_Institution
    Electron. Dept., AMA Univ., Bahrain
  • fYear
    2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    A synthesis method to design a uniform linear antenna array, based on the ecology and social behavior phenomenon of animals is presented. The main Objective is to perform a rigorous determination of parameters involved in the beam pattern synthesis of antenna arrays with moderate sizes. The main objective of this work to conceive jointly the optimum amplitude and phase of the array elements using the Firefly algorithm (FA) and Invasive weed Optimization (IWO) methods. The distance between the elements is maintained uniformly so that mutual coupling can be ignored. The performance of the Firefly and IWO on the synthesis of a preconceived desired specification is compared in terms of convergence rate and global best solutions achieved.
  • Keywords
    antenna radiation patterns; convergence; ecology; linear antenna arrays; particle swarm optimisation; IWO methods; antenna synthesis; array elements; beam pattern synthesis; constrained performance comparison; convergence rate; ecology techniques; firefly algorithm; global best solutions; invasive weed optimization method; mutual coupling; optimum amplitude; social behavior phenomenon; swarm techniques; synthesis method; uniform linear antenna array; Algorithm design and analysis; Antenna arrays; Antenna radiation patterns; Arrays; Fires; Optimization; Sociology; Firefly algorithm; Invasive weeds optimization; complex excitation coefficients; constrained continuous optimization; linear antenna array;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, Signal Processing, and their Applications (ICCSPA), 2013 1st International Conference on
  • Conference_Location
    Sharjah
  • Print_ISBN
    978-1-4673-2820-3
  • Type

    conf

  • DOI
    10.1109/ICCSPA.2013.6487256
  • Filename
    6487256