• DocumentCode
    2434446
  • Title

    Adaptive channel estimation based on the MIMO-OFDM preamble

  • Author

    Hwang, Suk-seung

  • Author_Institution
    Dept. of Mechatron. Eng., Chosun Univ., Gwangju, South Korea
  • fYear
    2009
  • fDate
    1-4 Nov. 2009
  • Firstpage
    898
  • Lastpage
    902
  • Abstract
    The multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) is one of core technologies for the third generation (3G) and fourth generation (4G) communication systems. The efficient channel estimation scheme with relatively low estimation error is required for the MIMO-OFDM communication system. In this paper, we propose a channel estimation scheme based on the adaptive algorithm such as the least-mean-square (LMS) and a preamble signal architecture considering the guard subcarrier, which is suitable to MIMO-OFDM. The proposed algorithm which estimates channels in the time-domain has not only the low channel estimation error but the low peak-to-average power (PAPR) comparing to conventional techniques such as the least-square (LS). Computer simulation results are provided to illustrate the performance of the proposed algorithm for the channel estimation.
  • Keywords
    MIMO communication; adaptive estimation; channel estimation; frequency division multiplexing; 3G communication system; 4G communication system; MIMO-OFDM communication system; adaptive channel estimation; multiple-input multiple-output orthogonal frequency division multiplexing; Adaptive algorithm; Channel estimation; Computer architecture; Computer errors; Estimation error; Least squares approximation; MIMO; OFDM; Peak to average power ratio; Time domain analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2009 Conference Record of the Forty-Third Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • ISSN
    1058-6393
  • Print_ISBN
    978-1-4244-5825-7
  • Type

    conf

  • DOI
    10.1109/ACSSC.2009.5470003
  • Filename
    5470003