• DocumentCode
    3435675
  • Title

    Steering an adaptive antenna array by LMS algorithm

  • Author

    Gargouri, L. ; Ghayoula, R. ; Fadlallah, N. ; Gharsallah, A. ; Rammal, M.

  • Author_Institution
    Fac. des Sci. de Tunis, Tunis, Tunisia
  • fYear
    2009
  • fDate
    13-16 Dec. 2009
  • Firstpage
    459
  • Lastpage
    462
  • Abstract
    An adaptive antenna system consists of a combination of multiple antenna elements with a signal-processing capability to optimize its radiation and/or reception pattern automatically in response to the signal environment. In a telecommunication system, adaptive antenna system is the port through which radio frequency (RF) energy is coupled from the transmitter to the environment and, in reverse, to the receiver from the environment. In this paper, an efficient method for the pattern synthesis of the linear antenna arrays with the prescribed nulling and steering lobe is presented. The proposed method is based on LMS algorithm. This paper proposes the novel architecture for implementing a least mean square (LMS) algorithm, using an 8 quasi-Yagi array with its feeding system.
  • Keywords
    adaptive antenna arrays; antenna feeds; antenna radiation patterns; least mean squares methods; linear antenna arrays; adaptive antenna array; adaptive antenna system; feeding system; least mean square algorithm; linear antenna arrays; multiple antenna elements; quasi-Yagi array; radiation pattern; radio frequency energy; reception pattern; signal processing capability; Adaptive arrays; Adaptive systems; Antenna arrays; Least squares approximation; Linear antenna arrays; Radio frequency; Radio transmitters; Receivers; Receiving antennas; Transmitting antennas; Adaptive Antenna; LMS Algorithm; Steering; quasi-yagi;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Circuits, and Systems, 2009. ICECS 2009. 16th IEEE International Conference on
  • Conference_Location
    Yasmine Hammamet
  • Print_ISBN
    978-1-4244-5090-9
  • Electronic_ISBN
    978-1-4244-5091-6
  • Type

    conf

  • DOI
    10.1109/ICECS.2009.5410893
  • Filename
    5410893