• DocumentCode
    1801057
  • Title

    Implementation of LS, MMSE and SAGE channel estimators for mobile MIMO-OFDM

  • Author

    Ketonen, Johanna ; Juntti, Markku ; Ylioinas, Juha ; Cavallaro, J.R.

  • Author_Institution
    Centre for Wireless Commun., Univ. of Oulu, Oulu, Finland
  • fYear
    2012
  • fDate
    4-7 Nov. 2012
  • Firstpage
    1092
  • Lastpage
    1096
  • Abstract
    The use of decision directed (DD) channel estimation in a multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) downlink receiver is studied in this paper. The 3GPP long term evolution (LTE) based pilot structure is used as a benchmark. The space-alternating generalized expectation-maximization (SAGE) algorithm is used to improve the performance from that of the pilot symbol based least-squares (LS) channel estimator. The DD channel estimation improves the performance with high user velocities, where the pilot symbol density is not sufficient. It can also be used to reduce the pilot overhead without any performance degradation. Minimum mean square error (MMSE) filtering can also be used in estimating the channel in between pilot symbols. The pilot based LS, MMSE and the SAGE channel estimators are implemented and the performance-complexity trade-offs are studied.
  • Keywords
    3G mobile communication; Long Term Evolution; MIMO communication; OFDM modulation; channel estimation; computational complexity; expectation-maximisation algorithm; least mean squares methods; radio links; radio receivers; wireless channels; 3GPP long term evolution-based pilot structure; DD channel estimation; LTE-based pilot structure; MIMO OFDM downlink receiver; MMSE channel estimators; MMSE filtering; SAGE channel estimators; decision directed orthogonal; minimum mean square error filtering; mobile MIMO-OFDM; multiple-input multiple-output orthogonal frequency division multiplexing downlink receiver; performance-complexity trade-offs; pilot symbol density; pilot symbol-based LS channel estimator; pilot symbol-based least squares channel estimator; space-alternating generalized expectation-maximization algorithm; user velocities;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers (ASILOMAR), 2012 Conference Record of the Forty Sixth Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • ISSN
    1058-6393
  • Print_ISBN
    978-1-4673-5050-1
  • Type

    conf

  • DOI
    10.1109/ACSSC.2012.6489188
  • Filename
    6489188