• DocumentCode
    2838503
  • Title

    EM-MMSE based Channel Estimation for OFDM Systems

  • Author

    Jain, Sachin ; Gupta, Prerana ; Mehra, D.K.

  • Author_Institution
    Indian Inst. of Technol., Roorkee
  • fYear
    2006
  • fDate
    15-17 Dec. 2006
  • Firstpage
    2598
  • Lastpage
    2602
  • Abstract
    Accurate estimation of time-varying wireless channels is a difficult task in orthogonal frequency division multiplexing (OFDM) systems. Pilot based techniques have normally been employed for channel estimation. However, for time varying channels, pilot symbols need to be transmitted periodically to overcome the effect of time selective fading. Expectation-maximization (EM) based technique may be used in such situations avoiding the need for periodic retransmission of pilot symbols. In order to reduce the complexity of EM algorithm, we propose an EM-MMSE based iterative procedure to estimate the time-varying channel. The proposed algorithm is not only computationally simpler than EM method but also yields performance improvement over conventional pilot based methods.
  • Keywords
    OFDM modulation; channel estimation; computational complexity; expectation-maximisation algorithm; fading channels; least mean squares methods; time-varying channels; EM-MMSE based channel estimation; OFDM system; expectation-maximization algorithm complexity; iterative procedure; minimum mean square error method; orthogonal frequency division multiplexing system; time selective fading; time-varying wireless channel estimation; AWGN; Channel estimation; Communication standards; Cost function; Digital video broadcasting; Iterative algorithms; Low pass filters; OFDM; Signal to noise ratio; Wireless LAN;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Technology, 2006. ICIT 2006. IEEE International Conference on
  • Conference_Location
    Mumbai
  • Print_ISBN
    1-4244-0726-5
  • Electronic_ISBN
    1-4244-0726-5
  • Type

    conf

  • DOI
    10.1109/ICIT.2006.372649
  • Filename
    4237971