• DocumentCode
    3194760
  • Title

    A novel Carrier Frequency Offset tracking algorithm for OFDM systems using LS-ICA and fractional sampling

  • Author

    Xu, Kui ; Shen, Yuehong ; Chen, Shouqi

  • Author_Institution
    Inst. of Commun. Eng., PLA Univ. of Sci. & Technol., Nanjing
  • fYear
    2008
  • fDate
    25-27 May 2008
  • Firstpage
    937
  • Lastpage
    941
  • Abstract
    A novel carrier frequency offset (CFO) tracking algorithm for orthogonal frequency division multiplexing (OFDM) systems using least square independent component analysis (LS-ICA) and fractional sampling method is proposed. Simulation results show that the LS-ICA method can obtained a better mean square error (MSE) performance than maximum-likelihood (ML) CFO tracking scheme. Compared with the cyclic prefix independent component analysis (CP-ICA) CFO tracking scheme, the proposed method can obtain a much lower computational complexity and a better MSE performance over AWGN and multipath Rayleigh channel.
  • Keywords
    AWGN channels; OFDM modulation; Rayleigh channels; computational complexity; independent component analysis; least squares approximations; maximum likelihood estimation; mean square error methods; signal sampling; AWGN; carrier frequency offset tracking; computational complexity; cyclic prefix independent component analysis; fractional sampling; least square independent component analysis; maximum-likelihood CFO tracking; mean square error; multipath Rayleigh channel; orthogonal frequency division multiplexing; AWGN; Additive white noise; Covariance matrix; Frequency estimation; Frequency synchronization; Gaussian noise; Independent component analysis; OFDM; Sampling methods; Signal processing algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, Circuits and Systems, 2008. ICCCAS 2008. International Conference on
  • Conference_Location
    Fujian
  • Print_ISBN
    978-1-4244-2063-6
  • Electronic_ISBN
    978-1-4244-2064-3
  • Type

    conf

  • DOI
    10.1109/ICCCAS.2008.4657923
  • Filename
    4657923