• DocumentCode
    2146068
  • Title

    Simplified EM channel estimation in LTE systems

  • Author

    Liu, Yang ; Sezginer, Serdar

  • Author_Institution
    Sequans Commun., Paris, France
  • fYear
    2011
  • fDate
    22-27 May 2011
  • Firstpage
    3480
  • Lastpage
    3483
  • Abstract
    In this paper, an iterative channel estimation algorithm is considered in LTE systems. A simplified expectation maximization (EM) based algorithm is proposed for channel estimation in the frequency do main. In order to deal with "null" sub-carriers in the guard band and make the algorithm simpler, the truncated singular value decomposition method is integrated to EM (TSVD-EM). Together with a simple linear interpolation in time domain, channel estimates are obtained in an iterative way with low complexity. The mean square error of the proposed algorithm is also analyzed, and, based on this analysis, an additional constant variance is proposed to be used in the detection process. Simulation results show that the proposed channel estimation and detection methods have very close performance to the perfect case.
  • Keywords
    Long Term Evolution; channel estimation; demodulation; interpolation; iterative methods; mean square error methods; singular value decomposition; time-frequency analysis; EM TSVD-EM; EM based algorithm; LTE system; constant variance; detection process; expectation maximization based algorithm; frequency domain analysis; iterative channel estimation algorithm; linear interpolation; mean square error method; time domain analysis; truncated singular value decomposition method; Channel estimation; Complexity theory; Detectors; Estimation; Interpolation; OFDM; Signal to noise ratio; Channel estimation; Expectation maximization; LTE; Singular value decomposition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
  • Conference_Location
    Prague
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4577-0538-0
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2011.5946227
  • Filename
    5946227