• DocumentCode
    600019
  • Title

    Performance analysis of Bessel beamformer with LMS algorithm for smart antenna array

  • Author

    Yasin, M. ; Akhtar, Pervez

  • Author_Institution
    Dept. of Electron. & Power Eng., Nat. Univ. of Sci. & Technol., Islamabad, Pakistan
  • fYear
    2012
  • fDate
    20-22 Dec. 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The objective of this paper is to analyze the mathematical model of Bessel beamformer with least mean square (LMS) beamforming algorithm using offset quadrature phase shift keying (OQPSK) which is one of the efficient digital modulation techniques. The desired user is placed at an angle 20 degree and all other users as interfering signals in a Rayleigh fading scenario. The performance is judged in terms of signal recovery, directive gain, minimum mean square error (MMSE), saving in transmitted power and rate of convergence. The analysis demonstrates that minimization of MSE can be an important technique for the optimization of a weight vector to enhance gain and capacity.
  • Keywords
    Bessel functions; Rayleigh channels; adaptive antenna arrays; array signal processing; least mean squares methods; modulation; quadrature phase shift keying; vectors; Bessel beamformer; LMS algorithm; MMSE; OQPSK; Rayleigh fading scenario; beamforming algorithm; digital modulation; least mean square; mathematical model; minimum mean square error; offset quadrature phase shift keying; performance analysis; smart antenna array; weight vector; Algorithm design and analysis; Array signal processing; Arrays; Convergence; Least squares approximation; Signal processing algorithms; Vectors; Bessel beamformer; LMS algorithm; smart/adaptive antenna array system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Open Source Systems and Technologies (ICOSST), 2012 International Conference on
  • Conference_Location
    Lahore
  • Print_ISBN
    978-1-4673-3094-7
  • Type

    conf

  • DOI
    10.1109/ICOSST.2012.6472832
  • Filename
    6472832