• DocumentCode
    3120627
  • Title

    A blind symbol synchronization algorithm using adaptive equalizers

  • Author

    Moazzami, Farzad ; Cole-Rhodes, Arlene

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Morgan State Univ., Baltimore, MD, USA
  • fYear
    2011
  • fDate
    23-25 March 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper the problem of synchronization of data blocks between the transmitter and receiver is discussed, and a solution is described for blind synchronization by using a blind channel estimator. In earlier work, a blind wideband channel estimation algorithm for multipath channels was introduced, which is based on the second order statistics of the received signals. For that blind equalization and channel estimation method, a blind synchronization algorithm was needed. This paper describes a windowing method, which uses the estimated channel taps to calculate the delay between transmitter and the receiver unit. The channel vector is determined, and the significant values of the channel entries are located to determine the relative shift between the input and output. This is then used to provide synchronization at the receiver. Simulation results show the effectiveness and accuracy of the proposed synchronization algorithm.
  • Keywords
    MIMO communication; Rayleigh channels; adaptive equalisers; channel estimation; higher order statistics; multipath channels; synchronisation; SIMO system; adaptive equalizers; blind channel estimator; blind symbol synchronization algorithm; blind wideband channel estimation algorithm; channel vector; data block synchronisation; multipath Rayleigh fading channel; second order statistics; transmitter; windowing method; Channel estimation; Equalizers; Blind symbol synchronization; block transmission; channel estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Sciences and Systems (CISS), 2011 45th Annual Conference on
  • Conference_Location
    Baltimore, MD
  • Print_ISBN
    978-1-4244-9846-8
  • Electronic_ISBN
    978-1-4244-9847-5
  • Type

    conf

  • DOI
    10.1109/CISS.2011.5766204
  • Filename
    5766204