• DocumentCode
    1086947
  • Title

    Low complexity blind estimation of residual carrier offset in orthogonal frequency division multiplexing based

  • Author

    Attallah, S. ; Wu, Yaowu ; Bergmans, J.W.M.

  • Author_Institution
    Electr. & Comput. Eng. Dept., Nat. Univ. of Singapore, Singapore
  • Volume
    1
  • Issue
    4
  • fYear
    2007
  • fDate
    8/1/2007 12:00:00 AM
  • Firstpage
    604
  • Lastpage
    611
  • Abstract
    The presence of residual carrier frequency offset (CFO) in an orthogonal frequency division multiplexing (OFDM) system leads to a loss of orthogonality between the subcarriers. This introduces inter-subcarrier interference and degrades the system performance significantly. In the literature, Liu and Tureli proposed a blind CFO estimation method based on the observation that in a typical OFDM system not all the subcarriers are used for data transmission. However, the computational complexity of such a method is very high. Based on practical considerations, we propose an approximate closed-form solution for the blind estimation of CFO that is easily implementable at a very low cost. We also propose a successive CFO estimation and compensation procedure, which reduces the performance degradation of the proposed algorithm as compared with the method of Liu and Tureli when relatively large CFO values are assumed. In addition, a decision-directed extension of the successive algorithm, which further improves the CFO estimation at a slightly higher complexity, is also given.
  • Keywords
    OFDM modulation; computational complexity; data communication; frequency estimation; wireless LAN; Liu method; OFDM system; Tureli method; blind CFO estimation method; closed-form solution; computational complexity; data transmission; decision-directed extension; inter-subcarrier interference; low complexity blind estimation; orthogonal frequency division multiplexing-; residual carrier frequency offset; wireless local area network systems;
  • fLanguage
    English
  • Journal_Title
    Communications, IET
  • Publisher
    iet
  • ISSN
    1751-8628
  • Type

    jour

  • DOI
    10.1049/iet-com:20060120
  • Filename
    4286612