• DocumentCode
    1761958
  • Title

    Semiblind Channel Estimation for OFDM/OQAM Systems

  • Author

    Weikun Hou ; Champagne, Benoit

  • Author_Institution
    Canada R&D Centre, Huawei Technol., Ottawa, ON, Canada
  • Volume
    22
  • Issue
    4
  • fYear
    2015
  • fDate
    42095
  • Firstpage
    400
  • Lastpage
    403
  • Abstract
    In this letter, we propose a semiblind channel estimation technique for OFDM/OQAM wireless systems. The proposed technique exploits the real property of transmitted symbols to blindly identify the channel-induced rotation in the received signal, thereby reducing the pilot overhead for estimation purpose. Specifically, the channel phase over each subcarrier can be obtained from the spatial-sign covariance matrix of the received signal, while the channel amplitude can be expressed in terms of the subcarrier power. In effect, the frequency-domain noise can be reduced effectively by block averaging over multiple symbols. Since the channel delay spread is usually much smaller than the symbol duration, channel coefficients obtained from the estimated phase and amplitude can be further refined through low-rank filtering. Simulation results validate the efficacy of the proposed technique in time-dispersive fading channels, showing its robustness under different signal-to-noise ratio (SNR) conditions.
  • Keywords
    OFDM modulation; blind equalisers; channel estimation; fading channels; quadrature amplitude modulation; OFDM system; OQAM system; block averaging; channel induced rotation; frequency domain noise; pilot overhead reduction; received signal; semiblind channel estimation; signal-to-noise ratio; spatial sign covariance matrix; subcarrier power; time dispersive fading channel; wireless system; Channel estimation; Covariance matrices; Interference; Materials; OFDM; Prototypes; Time-frequency analysis; OFDM/OQAM; semiblind channel estimation; spatial-sign covariance matrix;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2014.2361663
  • Filename
    6917026