• DocumentCode
    3380049
  • Title

    Blind carrier frequency offset estimation for OFDM systems by probability density function

  • Author

    Chen, Ju-Ya

  • Author_Institution
    Inst. of Commun. Eng., Nat. Sun Yat-sen Univ., Kaohsiung, Taiwan
  • fYear
    2010
  • fDate
    May 30 2010-June 2 2010
  • Firstpage
    793
  • Lastpage
    796
  • Abstract
    Orthogonal frequency division multiplexing (OFDM) is a technique widely used for wireless communication applications. All the subcarriers are orthogonal to each other in OFDM systems. However, carrier frequency offset (CFO) may distort the orthogonality of the subcarriers and it must be estimated and compensated to maintain the system performance. A blind carrier frequency offset estimator based on the phase probability density function (pdf) is proposed in this paper. The proposed CFO estimator can operate under additive white Gaussian noise (AWGN) and multipath channels without known training signal, virtual carrier, and redundant guard interval. When compared with subspace-based blind estimators, the proposed estimator can provide better mean-squared-error performance.
  • Keywords
    AWGN channels; OFDM modulation; frequency estimation; mean square error methods; multipath channels; probability; CFO estimator; OFDM systems; additive white Gaussian noise; blind carrier frequency offset estimation; mean square error estimation; multipath channels; orthogonal frequency division multiplexing; probability density function; AWGN; Additive white noise; Bandwidth; Digital video broadcasting; Frequency estimation; Multipath channels; OFDM; Phase estimation; Probability density function; Wireless communication; OFDM; carrier frequency offset estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (ISCAS), Proceedings of 2010 IEEE International Symposium on
  • Conference_Location
    Paris
  • Print_ISBN
    978-1-4244-5308-5
  • Electronic_ISBN
    978-1-4244-5309-2
  • Type

    conf

  • DOI
    10.1109/ISCAS.2010.5537449
  • Filename
    5537449