• DocumentCode
    745855
  • Title

    Training Signal Design for Estimation of Correlated MIMO Channels With Colored Interference

  • Author

    Liu, Yong ; Wong, Tan F. ; Hager, William W.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Florida Univ., Gainesville, FL
  • Volume
    55
  • Issue
    4
  • fYear
    2007
  • fDate
    4/1/2007 12:00:00 AM
  • Firstpage
    1486
  • Lastpage
    1497
  • Abstract
    In this paper, we study the problem of estimating correlated multiple-input multiple-output (MIMO) channels in the presence of colored interference. The linear minimum mean square error (MMSE) channel estimator is derived and the optimal training sequences are designed based on the MSE of channel estimation. We propose an algorithm to estimate the long-term channel statistics needed for the construction of the optimal training sequences. We also design an efficient scheme to feed back the required information to the transmitter where we can approximately construct the optimal sequences. Numerical results show that the optimal training sequences provide substantial performance gain for channel estimation when compared with other training sequences
  • Keywords
    MIMO communication; channel estimation; correlation methods; least mean squares methods; radiofrequency interference; statistics; wireless channels; MMSE; channel estimator; colored interference; correlated MIMO channels; linear minimum mean square error; long-term channel statistics; multiple-input multiple-output channels; optimal training sequences; training signal design; transmitter; Channel estimation; Fading; Feeds; Interference; MIMO; Mean square error methods; Signal design; Statistics; Transmitters; Wireless communication; Channel estimation; mean square error (MMSE); multiple-input multiple-output (MIMO) system; optimal training sequence;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2006.889976
  • Filename
    4133041