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Preconditioned and Rank-Flexible Block Conjugate Gradient Implementations of Mimo Wiener Decision Feedback Equalizers

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3 Author(s)
Groh, I. ; Inst. for Circuit Theory & Signal Process., Munich Technol. Univ. ; Dietl, G. ; Utschick, W.

In this paper, we present two extensions of the block conjugate gradient (BCG) algorithm, a method which exploits the concept of block Krylov subspaces. First, we extend the BCG algorithm such that it is more flexible concerning the dimension of the block Krylov subspace. Second, a computationally efficient preconditioned BCG (PBCG) algorithm is introduced which turns out to outperform the standard BCG algorithm concerning the complexity-performance ratio. Hence, we provide a powerful implementation for reduced-rank signal processing in the minimum mean square error (MMSE) sense. Simulation results show the gain in rank-flexibility and convergence speed

Published in:

Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on  (Volume:4 )

Date of Conference:

14-19 May 2006