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

Author

Groh, Ingmar ; Dietl, Guido ; Utschick, Wolfgang

Author_Institution

Inst. for Circuit Theory & Signal Process., Munich Technol. Univ.

Volume

4

fYear

2006

fDate

14-19 May 2006

Abstract

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

Keywords

MIMO systems; conjugate gradient methods; decision feedback equalisers; filtering theory; filters; least mean squares methods; signal processing; MIMO Wiener decision feedback equalizers; MMSE; block Krylov subspaces; complexity-performance ratio; minimum mean square error; multiple input single output systems; preconditioned block conjugate gradient implementations; rank-flexible block conjugate gradient implementations; reduced-rank signal processing; Approximation algorithms; Circuit theory; Computational complexity; Computational modeling; Convergence; Decision feedback equalizers; MIMO; Mean square error methods; Nonlinear filters; Signal processing algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on

Conference_Location

Toulouse

ISSN

1520-6149

Print_ISBN

1-4244-0469-X

Type

conf

DOI

10.1109/ICASSP.2006.1661000

Filename

1661000