• DocumentCode
    2046121
  • Title

    Precoder design via approximate joint diagonalization for ricean correlated MIMO channels in STBC systems

  • Author

    Pandula, Shyam ; Paris, Bernd-Peter

  • Author_Institution
    Dept. of Electr. & Comput. Eng., George Mason Univ., Fairfax, VA
  • fYear
    2008
  • fDate
    19-21 March 2008
  • Firstpage
    1099
  • Lastpage
    1103
  • Abstract
    We present a novel linear precoder design based on the minimum pair-wise error probability (PEP) criterion for general space-time block coded (STBC) MIMO systems. The channel state information at the transmitter consists of the channel mean and transmit antenna correlation matrices. Approximate joint diagonalization reveals the "average eigenstructure" shared by the mean and correlation matrices. These average eigenvectors turn out to be the left singular vectors of the precoder matrix. The right singular vectors of the precoder matrix depend on the space-time code. The singular values correspond to the power allocated to each mode, which depends on the channel statistics and the space-time code. Precoder design examples for a non-orthogonal STBCs and simulation results are provided to illustrate the achieved performance gain.
  • Keywords
    MIMO communication; Rician channels; approximation theory; block codes; channel coding; eigenvalues and eigenfunctions; error statistics; matrix algebra; precoding; space-time codes; Ricean correlated MIMO channels; STBC systems; approximate joint diagonalization; average eigenstructure; channel mean; channel state information; channel statistics; minimum pair-wise error probability; precoder design; precoder matrix; space-time block coded MIMO systems; Channel state information; MIMO; Pairwise error probability; Performance gain; Power system modeling; Space time codes; Statistical distributions; Statistics; Transmitters; Transmitting antennas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Sciences and Systems, 2008. CISS 2008. 42nd Annual Conference on
  • Conference_Location
    Princeton, NJ
  • Print_ISBN
    978-1-4244-2246-3
  • Electronic_ISBN
    978-1-4244-2247-0
  • Type

    conf

  • DOI
    10.1109/CISS.2008.4558683
  • Filename
    4558683