• DocumentCode
    460510
  • Title

    A Low-Complexity Channel Estimator for MIMO-OFDM Systems

  • Author

    Hwang, Yin-Tsung ; Peng, Sheng-Chi ; Lain, Jenn-Kaie

  • Author_Institution
    Dept. of Electr. Eng., Nat. Chung-Hsing Univ., Taichung
  • Volume
    2
  • fYear
    2006
  • fDate
    25-28 June 2006
  • Firstpage
    1021
  • Lastpage
    1025
  • Abstract
    In this paper, a low complexity channel estimator for MIMO OFDM systems is proposed. A frequency domain filtering scheme based on the concept of temporal windowing for noise power reduction outside the window is developed to enhance the performance of the simple least square estimator. This approach can eliminate the extra FFT/IFFT operations required in the conventional time domain scheme. A temporal Hamming window is adopted to further reduce the computing complexity of the frequency domain filtering. Simulation results indicate the proposed scheme can significantly improve both the NMSE and BER performance of the LS channel estimator. Compared with the time domain most significant tap (MST) scheme, the proposed scheme has comparable performance but requires much less computing complexity. The proposed scheme also has the advantage in hardware implementation over the MST scheme
  • Keywords
    MIMO communication; OFDM modulation; channel estimation; error statistics; filtering theory; frequency-domain analysis; least squares approximations; BER performance; MIMO-OFDM system; bit error rate; channel estimator; frequency domain filtering scheme; least square estimator; multiple input multiple output system; temporal Hamming window concept; Bit error rate; Computational modeling; Filtering; Frequency domain analysis; Frequency estimation; Hardware; Least squares approximation; MIMO; Noise reduction; OFDM;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, Circuits and Systems Proceedings, 2006 International Conference on
  • Conference_Location
    Guilin
  • Print_ISBN
    0-7803-9584-0
  • Electronic_ISBN
    0-7803-9585-9
  • Type

    conf

  • DOI
    10.1109/ICCCAS.2006.284822
  • Filename
    4064063