• DocumentCode
    2670680
  • Title

    Joint channel estimation and synchronization for OFDM systems

  • Author

    Freda, M.M. ; Weng, J.F. ; Le-Ngoc, T.

  • Author_Institution
    Dept. of ECE, McGill Univ., Montreal, Que., Canada
  • Volume
    3
  • fYear
    2004
  • fDate
    26-29 Sept. 2004
  • Firstpage
    1673
  • Abstract
    In this paper, we present a joint channel estimation and synchronization technique for burst-mode OFDM systems. The technique uses the nonlinear recursive least squares algorithm (NL-RLS) to jointly estimate the channel impulse response (CIR), the carrier frequency offset (CFO), the sampling clock offset (SCO), and the timing offset, and to correct for each of these in the digital domain and without the use of a delay-locked loop (DLL). The need for pilot symbols in the payload data is eliminated by a decision-directed operation mode. The time-domain NL-RLS algorithm needs a small number of parameters to be estimated and can suppress the effect of decision feedback errors. Simulation results confirm its improved performance and relatively low variance.
  • Keywords
    OFDM modulation; channel estimation; frequency estimation; least squares approximations; mobile radio; nonlinear estimation; recursive estimation; synchronisation; transient response; NL-RLS; burst-mode OFDM systems; carrier frequency offset; channel estimation; channel impulse response; decision feedback errors; decision-directed operation mode; nonlinear recursive least squares algorithm; parameter estimation; performance; sampling clock offset; synchronization; timing offset; Channel estimation; Clocks; Delay estimation; Frequency estimation; Frequency synchronization; Least squares approximation; OFDM; Recursive estimation; Sampling methods; Timing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference, 2004. VTC2004-Fall. 2004 IEEE 60th
  • ISSN
    1090-3038
  • Print_ISBN
    0-7803-8521-7
  • Type

    conf

  • DOI
    10.1109/VETECF.2004.1400319
  • Filename
    1400319