• DocumentCode
    1686621
  • Title

    A Blind Maximum-SINR Synchronization Technique for OFDM Systems

  • Author

    Chin, Wen-Long ; Chen, Sau-Gee

  • Author_Institution
    Dept. of Electron. Eng. & Inst. of Electron., Nat. Chiao Tung Univ., Hsinchu
  • fYear
    2008
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This work presents a blind synchronizer for orthogonal frequency-division multiplexing (OFDM) systems based on signal-to-interference-and-noise-ratio (SINR) maximization. Due to the incurred losses from inter-symbol interference (ISI) and inter-carrier interference (ICI) introduced by synchronization errors, the SINR of the received data drops drastically. By taking advantage of this characteristic, both the symbol time and carrier frequency offsets are intuitively estimated by maximizing the SINR metric. For the SINR metric, we propose a blind SINR estimation, which does not need prior knowledge of the channel profiles and transmitted data. As such, the proposed maxi-mum-SINR (MSINR) synchronization algorithm is non-data-aided (NDA) so that the transmission efficiency can be improved. Moreover, to reduce the computational complexity, the early-late gate (ELG) technique is proposed for the implementation of the synchronizer. Simulation results exhibit better performance for the MSINR algorithm than conventional techniques in multipath fading channels.
  • Keywords
    AWGN channels; blind source separation; fading channels; frequency division multiplexing; intercarrier interference; intersymbol interference; maximum likelihood estimation; multipath channels; OFDM systems; blind maximum-SINR synchronization technique; blind synchronizer; early-late gate technique; inter-carrier interference; inter-symbol interference; multipath fading channels; signal-to-interference-and-noise-ratio maximization; AWGN; Computational complexity; Delay estimation; Fading; Frequency division multiplexing; Frequency estimation; Frequency synchronization; Intersymbol interference; OFDM; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference, 2008. IEEE GLOBECOM 2008. IEEE
  • Conference_Location
    New Orleans, LO
  • ISSN
    1930-529X
  • Print_ISBN
    978-1-4244-2324-8
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2008.ECP.849
  • Filename
    4698624