Adaptive Conjugate Gradient DFEs for Wideband MIMO Systems

Author

Lalos, Aris S. ; Kekatos, Vassilis ; Berberidis, Kostas

Author_Institution

Dept. of Comput. Eng. & Inf., Univ. of Patras, Rio-Patras

Volume

57

Issue

6

fYear

2009

fDate

6/1/2009 12:00:00 AM

Firstpage

2406

Lastpage

2412

Abstract

New adaptive equalization algorithms for wireless systems operating over wideband multiple-input multiple-output (MIMO) channels are proposed. The problem of MIMO decision feedback equalizer (DFE) design is formulated as a set of linear equations with multiple right-hand sides (RHSs) evolving in time. By applying an adaptive modified conjugate gradient algorithm, we derive an equalizer with identical convergence, improved tracking capabilities, but higher computational load as compared to the Recursive Least Squares (RLS) algorithm. To reduce its complexity, two updating strategies of the equalizer filters based on Galerkin projections are employed.

Keywords

Galerkin method; MIMO communication; adaptive equalisers; conjugate gradient methods; decision feedback equalisers; least squares approximations; recursive estimation; telecommunication channels; DFE; Galerkin projections; adaptive equalization algorithms; adaptive modified conjugate gradient algorithm; decision feedback equalizer; equalizer filters; identical convergence; recursive least squares algorithm; wideband MIMO systems; wideband multiple-input multiple-output channels; Adaptive equalizers; Galerkin method; MIMO systems; conjugate gradient methods; decision feedback equalizers;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/TSP.2009.2016245

Filename

4787120