• DocumentCode
    3428905
  • Title

    Analysis of Two-Step Frequency Offset Estimators for OFDM

  • Author

    Wu, Yun ; Jiang, Xinhua

  • Author_Institution
    Coll. of Inf. Sci. & Technol., Donghua Univ., Shanghai
  • fYear
    2008
  • fDate
    12-14 Oct. 2008
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The conventional two-step carrier frequency offset (CFO) estimator using L identical parts is analyzed. It turns out that the conventional two-step CFO estimator is not optimal in terms of MSE. A novel two-step CFO estimator is proposed in this paper. In fist step, a fine estimate is obtained based on the principle of minimum variance. The fine estimation has ambiguity since its estimate range is limited. In second step, a coarse estimation is obtained which results in a larger estimate range but less precision. Using the coarse estimation, the ambiguity of fine estimation is resolved. Finally, the fine estimation resolved the ambiguity and the coarse estimation are optimally combined to improve the estimate performance. Analysis and simulation results demonstrate that the novel two- step estimator outperforms the conventional two-step estimator in terms of estimate performance and computational complexity.
  • Keywords
    OFDM modulation; computational complexity; frequency estimation; OFDM training symbol; coarse estimation; computational complexity; fine estimation; minimum variance principle; two-step frequency offset estimator; Computational complexity; Degradation; Delay estimation; Educational institutions; Frequency estimation; Information analysis; Information science; Intersymbol interference; OFDM; Space technology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4244-2107-7
  • Electronic_ISBN
    978-1-4244-2108-4
  • Type

    conf

  • DOI
    10.1109/WiCom.2008.221
  • Filename
    4678130