• DocumentCode
    495602
  • Title

    A Simplified NLS Frequency Offset  Estimator for OFDM Systems

  • Author

    Wu, Yun ; Chen, Wen ; Xu, Wu-jun

  • Author_Institution
    Coll. of Inf. Sci. & Technol., Donghua Univ., Shanghai, China
  • Volume
    1
  • fYear
    2009
  • fDate
    March 31 2009-April 2 2009
  • Firstpage
    181
  • Lastpage
    185
  • Abstract
    A simplified nonlinear least square (NLS) carrier frequency offset (CFO) estimation scheme is proposed based on an OFDM training symbol with L identical parts. Since the NLS CFO estimate scheme has no close-solution, the estimate process is divided into two steps of fine and coarse estimations. The fine estimation is obtained by the correlation of two identical halves in the training symbol. After compensating the fine estimation, the coarse estimation is easily obtained based on NLS by searching the peak on the L-point frequency grids.Moreover, to reduce the computational complexity of coarse CFO estimation, a strategy of adaptive adjusting the number of used sub-symbols based on estimate reliability evaluation is devised. Computer simulations demonstrate that the proposed CFO estimator has a satisfying estimate performance, while maintaining a low computer complexity.
  • Keywords
    OFDM modulation; computational complexity; frequency estimation; least squares approximations; NLS carrier frequency offset estimator; OFDM systems; coarse estimations; computational complexity; fine estimation; nonlinear least square estimation scheme; orthogonal frequency division multiplexing; training symbol; Computational complexity; Computer science; Computer simulation; Delay estimation; Educational institutions; Frequency estimation; Information science; Intersymbol interference; Least squares approximation; OFDM; OFDM; frequency offset estimation; identical parts; nonlinear least square;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Engineering, 2009 WRI World Congress on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    978-0-7695-3507-4
  • Type

    conf

  • DOI
    10.1109/CSIE.2009.451
  • Filename
    5171158