• DocumentCode
    3417407
  • Title

    Low complexity blind estimation of the carrier frequency offset in multicarrier systems

  • Author

    Ferreira, Tadeu N. ; Netto, Sergio L. ; Diniz, Paulo S R ; Baltar, Leonardo G. ; Nossek, Josef A.

  • Author_Institution
    Fed. Univ. of Rio de Janeiro, Rio de Janeiro, Brazil
  • fYear
    2008
  • fDate
    March 31 2008-April 4 2008
  • Firstpage
    3045
  • Lastpage
    3048
  • Abstract
    In orthogonal frequency division multiplexing (OFDM), carrier frequency offset (CFO) must be mitigated since it generates interference between received symbols transmitted through different sub-carriers. This paper presents a new algorithm for CFO estimation with reduced computational complexity. The new approach is based on the segmentation of the input-signal autocorrelation matrix into the noise and signal subspaces, the latter being employed to estimate the desired CFO. Simulations validate the effectiveness of the new algorithm in comparison to the traditional parametric estimation technique ESPRIT.
  • Keywords
    OFDM modulation; blind source separation; correlation methods; frequency estimation; CFO estimation; ESPRIT; carrier frequency offset; computational complexity; digital communications; input-signal autocorrelation matrix; low complexity blind estimation; multicarrier systems; noise subspaces; orthogonal frequency division multiplexing; parametric estimation; received symbols; signal processing; signal subspaces; Communication systems; Computational complexity; Computational modeling; Degradation; Discrete Fourier transforms; Frequency estimation; Intersymbol interference; OFDM modulation; Parameter estimation; Signal processing algorithms; Digital communications; Parameter estimation; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
  • Conference_Location
    Las Vegas, NV
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-1483-3
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2008.4518292
  • Filename
    4518292