• DocumentCode
    2820265
  • Title

    Null placement in linear antenna arrays with a novel boundary condition of PSO

  • Author

    Chakravorty, Pragnan ; Mandal, Durbadal

  • Author_Institution
    Dept. of Electron. & Commun. Eng., Nat. Inst. of Technol., Durgapur, India
  • fYear
    2015
  • fDate
    26-27 Feb. 2015
  • Firstpage
    1103
  • Lastpage
    1105
  • Abstract
    In the research of past one decade it has been quite convincingly shown that the boundary conditions in particle swarm optimizers are an important algorithmic part which restricts the particles within the solution space thereby increasing their scope of participation in solution finding process. Usually, velocities of the particles are regulated to bring them back to solution space; here a different fundamental approach of regulating the position of particles is taken, particles which go out of solution place are relocated inside by maintaining symmetry about the boundary. A six element linear antenna array is taken as the optimization target for the placement of nulls in some specified angles and an overall reduction of side lobes in the radiation pattern. Results show better performance of this boundary condition over other established ones in terms of quicker convergence and obtaining better optimization solution.
  • Keywords
    antenna radiation patterns; linear antenna arrays; particle swarm optimisation; PSO; boundary condition; linear antenna arrays; null placement; particle swarm optimizers; radiation pattern; side lobe overall reduction; solution finding process; solution space; Antenna radiation patterns; Boundary conditions; Convergence; Linear antenna arrays; Optimization; Particle swarm optimization; boundary conditions; linear antenna array; particle swarm optimization; radiation pattern optimization; symmetric relocation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics and Communication Systems (ICECS), 2015 2nd International Conference on
  • Conference_Location
    Coimbatore
  • Print_ISBN
    978-1-4799-7224-1
  • Type

    conf

  • DOI
    10.1109/ECS.2015.7124752
  • Filename
    7124752