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
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;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on
Print_ISBN :
1-4244-0727-3
DOI :
10.1109/ICASSP.2007.366507