• DocumentCode
    3260520
  • Title

    Adaptive RLMS algorithm for antenna array beamforming

  • Author

    Srar, Jalal Abdulsayed ; Chung, Kah-Seng

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Curtin Univ. of Technol., Perth, WA, Australia
  • fYear
    2009
  • fDate
    23-26 Jan. 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper presents a flexible method of achieving either fixed or self-adaptive antenna beamforming. It involves the use of an array image factor ¿d, which interfaces an RLS and LMS sections in cascade to form the RLMS beamforming algorithm. It is shown that an accurate fixed beam can be obtained by prior setting the elements of ¿d with prescribed values for the required direction. Moreover, the beam direction can also be made adaptive to automatically track the target signal. In this case, a convenient and effective method is described for computing the element values of ¿d based on the estimated RLS output signal and tap weights. Analytical and computer simulation results verify these two modes of operation of the RLMS beamforming algorithm. Furthermore, the convergence of RLMS is shown to be quite insensitive to variations in SNR of the input signal as well as the step sizes associated with the RLS and LMS sections.
  • Keywords
    antenna arrays; array signal processing; least mean squares methods; adaptive RLMS algorithm; antenna array beamforming; self-adaptive antenna beamforming; target signal; Adaptive arrays; Algorithm design and analysis; Antenna arrays; Array signal processing; Cities and towns; Computer simulation; Convergence; Least squares approximation; Resonance light scattering; Target tracking; Adaptive beamforming; LMS; RLMS algorithms; RLS; smart antenna;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON 2009 - 2009 IEEE Region 10 Conference
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-4546-2
  • Electronic_ISBN
    978-1-4244-4547-9
  • Type

    conf

  • DOI
    10.1109/TENCON.2009.5396256
  • Filename
    5396256