• DocumentCode
    2970433
  • Title

    A Reduced Symbol Synchronization Algorithm for OFDM Systems

  • Author

    Li, Wenxiu ; Yuan, Chaowei ; Shen, Jie

  • Author_Institution
    Dept. of Electron. Eng., Shandong Coll. of Electron. Technol., Jinan, China
  • fYear
    2010
  • fDate
    13-14 Oct. 2010
  • Firstpage
    139
  • Lastpage
    142
  • Abstract
    In order to increase the accuracy of timing estimation in frequency selective fading (FSF) channels and reduce the computational complexity, in this paper an adaptive symbol synchronization of OFDM blind channel estimation is proposed. First, by the ML algorithm used in flat fading channels, we give a rough estimated time position dML, then choose Δd, and give the maximum d1 of the measure function in the range of dML±Δd. Next, in the range of dML±Δd we continue to look for the maximum d2. If the two values d1 and d2 coincide, now we can stop and this point shall be the timed position, otherwise continue to search until the maximum point position fixed. Simulation results show that the accuracy of this algorithm is consistent with the traditional algorithms, but its computational complexity is far lower than the traditional algorithms.
  • Keywords
    OFDM modulation; channel estimation; computational complexity; fading channels; maximum likelihood estimation; synchronisation; FSF channels; ML estimation; OFDM systems; adaptive symbol synchronization; blind channel estimation; computational complexity; frequency selective fading channels; orthogonal frequency division multiplexing; reduced symbol synchronization algorithm; timing estimation accuracy; Artificial neural networks; Correlation; Maximum likelihood estimation; OFDM; Signal to noise ratio; Synchronization; FSF channel; ML; adaptive decision; symbol synchronization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Intelligence Information Security (ICCIIS), 2010 International Conference on
  • Conference_Location
    Nanning
  • Print_ISBN
    978-1-4244-8649-6
  • Electronic_ISBN
    978-0-7695-4260-7
  • Type

    conf

  • DOI
    10.1109/ICCIIS.2010.55
  • Filename
    5629209