• DocumentCode
    879414
  • Title

    Joint CFO and channel estimation for OFDMA uplink: an application of the variable projection method

  • Author

    Zeng, Xiang Nian ; Ghrayeb, Ali

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, QC, Canada
  • Volume
    8
  • Issue
    5
  • fYear
    2009
  • fDate
    5/1/2009 12:00:00 AM
  • Firstpage
    2306
  • Lastpage
    2311
  • Abstract
    In this paper, we propose a joint carrier frequency offset (CFO) and channel estimation method for the uplink channel of orthogonal frequency division multiple access (OFDMA) systems. The proposed method includes two steps. In the first step, the variable projection (VP) method based on the least squares (LS) criterion is used for CFO estimation. In each iteration of the VP method, the CFOs and channel coefficients are updated separately, which distinguishes the VP method from an existing non-separated minimum mean square error (MMSE) method in which the CFOs and channel coefficients are treated together as a whole. In the second step, the channel is estimated by employing the robust MMSE method. The simulation results show that, compared with the non-separated MMSE method, the proposed method has faster convergence rate in terms of CFO estimation and achieves better channel estimation performance in most of the cases. The computational complexity of the proposed scheme is also lower than that of the non-separated MMSE method for large number of users at high signal-to-noise ratios.
  • Keywords
    OFDM modulation; channel estimation; communication complexity; convergence of numerical methods; fading channels; frequency division multiple access; frequency estimation; least mean squares methods; MMSE method; OFDMA uplink; channel estimation; computational complexity; convergence rate; joint carrier frequency offset estimation; least square criterion; non-separated minimum mean square error method; orthogonal frequency division multiple access; variable projection method; Channel estimation; Computational complexity; Computational modeling; Convergence; Frequency conversion; Frequency estimation; Least squares approximation; Mean square error methods; Robustness; Signal to noise ratio; Carrier frequency offset estimation; channel estimation; minimum mean square error; orthogonal frequency division multiple access; uplink; variable projection method;
  • fLanguage
    English
  • Journal_Title
    Wireless Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1536-1276
  • Type

    jour

  • DOI
    10.1109/TWC.2009.081100
  • Filename
    4927444