• DocumentCode
    1479702
  • Title

    Low-Complexity Iterative Channel Estimation for Turbo Receivers

  • Author

    Yoon, Daejung ; Moon, Jaekyun

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Minnesota at Minneapolis, Minneapolis, MN, USA
  • Volume
    60
  • Issue
    5
  • fYear
    2012
  • fDate
    5/1/2012 12:00:00 AM
  • Firstpage
    1182
  • Lastpage
    1187
  • Abstract
    This letter discusses a receiver-side channel estimation algorithm well-suited to turbo equalizers for multiple-input multiple-output (MIMO) systems. The proposed technique is a Kalman-based channel estimator that runs on parallel single-input single-output (SISO) channels. Soft-decision-feedback interference cancellation is utilized to reduce the MIMO channel estimation problem into multiple SISO channel estimation problems. Unlike existing methods, however, the inherent correlation that exists among the output samples of the successive interference canceller is suppressed via careful puncturing of observation samples. The quality of soft decisions and channel estimates are also continuously monitored and incorporated in the Kalman filter update process.
  • Keywords
    Kalman filters; MIMO communication; channel estimation; computational complexity; iterative methods; radio receivers; radiofrequency interference; Kalman filter update process; Kalman-based channel estimator; MIMO system; SISO channel; low-complexity iterative channel estimation; multiple-input multiple-output system; parallel single-input single-output channel; receiver-side channel estimation algorithm; soft-decision-feedback interference cancellation; successive interference canceller; turbo equalizer; turbo receiver; Channel estimation; Correlation; Interference; Kalman filters; MIMO; OFDM; Receivers; MIMO-OFDM; channel estimation; soft information; spatial multiplexing;
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/TCOMM.2012.032012.110085
  • Filename
    6175871