• DocumentCode
    2428368
  • Title

    A closed-form semi-blind solution to MIMO-OFDM channel estimation

  • Author

    Wan, Feng ; Zhu, Wei-Ping ; Swamy, M.N.S.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, QC
  • fYear
    2008
  • fDate
    7-11 June 2008
  • Firstpage
    9
  • Lastpage
    13
  • Abstract
    Semi-blind channel estimation as a combination of the training-based or pilot-assisted method and a pure blind approach is considered to be a feasible solution for practical wireless systems due to its better estimation accuracy as well as spectral efficiency. However, in the existing semi-blind channel estimation techniques, the weighting factor employed to trade off the training-based and the blind criteria has not been appropriately determined. In this paper, a closed-form solution is developed for semi-blind channel estimation of MIMO-OFDM systems. An appealing scheme for the computation of the weighting factor is proposed, leading to an analytical expression for the weighting factor in terms the MSE (mean square error) of the training-based criterion and that of the blind part. A number of computer simulation-based experiments are conducted, confirming the effectiveness of the derived semi-blind solution.
  • Keywords
    MIMO communication; OFDM modulation; channel estimation; estimation theory; mean square error methods; MIMO-OFDM; MSE; channel estimation; mean square error; semi-blind solution; weighting factor; Channel estimation; Computer simulation; Convolution; Frequency estimation; Maximum likelihood estimation; Mean square error methods; OFDM; Receiving antennas; Signal processing; Statistics; MIMO-OFDM system; channel estimation; semi-blind;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks and Signal Processing, 2008 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-2310-1
  • Electronic_ISBN
    978-1-4244-2311-8
  • Type

    conf

  • DOI
    10.1109/ICNNSP.2008.4590299
  • Filename
    4590299