Preconditioned and rank-flexible block conjugate gradient implementations of MIMO wiener decision feedback equalizers

Ingmar Groh, Guido Dietl, Wolfgang Utschick

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

7 Zitate (Scopus)

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.

OriginalspracheEnglisch
Titel2006 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings
SeitenIV441-IV444
PublikationsstatusVeröffentlicht - 2006
Veranstaltung2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006 - Toulouse, Frankreich
Dauer: 14 Mai 200619 Mai 2006

Publikationsreihe

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Band4
ISSN (Print)1520-6149

Konferenz

Konferenz2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006
Land/GebietFrankreich
OrtToulouse
Zeitraum14/05/0619/05/06

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