• DocumentCode
    1634750
  • Title

    Improved Frequency-Domain Channel Estimation for Fast Time-Varying MIMO-SCFDE Channels

  • Author

    Zheng, Yahong Rosa ; Zhang, Jian

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Missouri Univ. of Sci. & Technol., Rolla, MO
  • fYear
    2008
  • Firstpage
    5108
  • Lastpage
    5112
  • Abstract
    A frequency-domain channel estimation method is proposed for time-varying multiple-input multiple output (MIMO) single-carrier frequency-domain equalization (SC-FDE). The proposed method uses frequency-domain interpolation to obtain channel frequency responses of data blocks from estimated responses of two adjacent pilot blocks. It takes the channel temporal-spatial correlation into account to achieve minimum mean squared error (MMSE) estimation, thus improving the accuracy and effectiveness in high Doppler scenarios. The simulation results of the bit error rate (BER) performances show that the proposed method works well for fast time-varying channels with Doppler spread as high as 300 Hz while maintaining over 70% data efficiency.
  • Keywords
    Doppler shift; MIMO communication; channel estimation; correlation methods; equalisers; error statistics; frequency response; frequency-domain analysis; interpolation; least mean squares methods; time-varying channels; Doppler scenarios; bit error rate performances; channel frequency responses; channel temporal-spatial correlation; fast time-varying MIMO-SCFDE channels; frequency-domain channel estimation; frequency-domain interpolation; minimum mean squared error estimation; multiple-input multiple output system; single-carrier frequency-domain equalization; Bit error rate; Channel estimation; Computational complexity; Frequency estimation; Interpolation; Least squares approximation; MIMO; OFDM; Resonance light scattering; Time domain analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2008. ICC '08. IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2075-9
  • Electronic_ISBN
    978-1-4244-2075-9
  • Type

    conf

  • DOI
    10.1109/ICC.2008.959
  • Filename
    4533995