• DocumentCode
    719577
  • Title

    QPSO for synthesis of linear array of isotropic antennas to generate flat-top beam including multiple null placement

  • Author

    Patidar, Hemant ; Mahanti, G.K.

  • Author_Institution
    Dept. of Electron. & Commun. Eng., Nat. Inst. of Technol., Durgapur, India
  • fYear
    2015
  • fDate
    16-18 March 2015
  • Firstpage
    46
  • Lastpage
    50
  • Abstract
    The authors proposed an evolutionary algorithm based on quantum particle swarm optimization to generate flattop beam from a linear array of isotropic antennas. An effort is also made to reduce the side lobe level including multiple null placements with minimum variation in ripple of flat-top beam. This is generally done by changing excitation current amplitude of the elements. Phases of some of the elements are kept either at zero degree or at 180 degree. The generated pattern is broadside in the vertical plane. One example has been presented with twenty-six isotropic antennas. Array factor is calculated by using inverse fast Fourier transform to reduce the computational time significantly. The results obtained from the given example demonstrate the effectiveness of the proposed method. Although, the proposed method is developed and applied to a linear array of isotropic antennas; however, the principle can easily be extended to other type of arrays.
  • Keywords
    antenna arrays; fast Fourier transforms; inverse transforms; particle swarm optimisation; QPSO; computational time; flat-top beam; inverse fast Fourier transform; isotropic antennas; quantum particle swarm optimization; Acoustic beams; Antenna radiation patterns; Arrays; Linear antenna arrays; Particle swarm optimization; Tin; Flat-top beam; inverse fast Fourier transform; linear array; quantum particle swarm optimization; ripple; side lobe level; single null depth;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communication (ICSC), 2015 International Conference on
  • Conference_Location
    Noida
  • Print_ISBN
    978-1-4799-6760-5
  • Type

    conf

  • DOI
    10.1109/ICSPCom.2015.7150617
  • Filename
    7150617