• DocumentCode
    3590151
  • Title

    Fast Computation of MIMO Equalizers and Cancellers in 1Ogbase-T Channels

  • Author

    Jie Chen ; Parhi, Keshab

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Minnesota Univ., Minneapolis, MN, USA
  • Volume
    3
  • fYear
    2007
  • Abstract
    This paper presents an efficient method for computing the optimal tap coefficients of the MIMO equalizers and cancellers from the channel impulse responses (CIR). The proposed method provides an insight of the minimum mean-square error (MMSE) solution in a general MIMO system and shows that the MSE optimization problem in a M-input N-output system can be decomposed into N independent minimization problems each with smaller size. Solving each separate problem in MMSE sense is computationally efficient, thus leading to substantial savings in overall computational complexity. Compared with a prior method, this new method is exact and much faster.
  • Keywords
    MIMO communication; equalisers; least mean squares methods; wireless channels; 10Gbase-t channels; MIMO equalizers; MMSE; channel impulse responses; minimum mean-square error; Adaptive algorithm; Computational complexity; Copper; Equalizers; Intersymbol interference; Least squares approximation; MIMO; Matrix decomposition; Resonance light scattering; Transmitters; CIR; MIMO; MMSE; computation complexity; independent;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on
  • ISSN
    1520-6149
  • Print_ISBN
    1-4244-0727-3
  • Type

    conf

  • DOI
    10.1109/ICASSP.2007.366507
  • Filename
    4217681