Adaptive zero-forcing blind equalisers

Author

Ueng, F.-B.

Author_Institution

Nat. Space Program Office, Hsin-Chu, Taiwan

Volume

148

Issue

6

fYear

2001

fDate

12/1/2001 12:00:00 AM

Firstpage

348

Lastpage

354

Abstract

Several adaptive blind equalisers, based on the zero-forcing (ZF) cost function, are presented. In order to estimate the mean square error (MSE) learning curve of a ZF FIR-type blind equaliser, a recursive method to predict the MSE trajectory is introduced. The ZF cost function on a decision-feedback (DF) structure is investigated and a convergence description for this DF structure is given. Finally, in order to speed-up the convergence of the proposed ZF blind equaliser, the multidimensional Newton search method is applied and the fast FIR and fast IIR type adaptive blind equalisers are derived. Some simulation examples are given to demonstrate the effectiveness of the proposed adaptive blind equalisers

Keywords

Newton method; adaptive equalisers; blind equalisers; convergence of numerical methods; decision feedback equalisers; mean square error methods; search problems; transient response; DFE; MSE; MSE trajectory; ZF FIR-type blind equaliser; ZF cost function; adaptive zero-forcing blind equalisers; convergence; decision-feedback structure; fast FIR adaptive blind equaliser; fast IIR adaptive blind equaliser; mean square error learning curve; multidimensional Newton search method; recursive method; simulation; zero-forcing cost function;

fLanguage

English

Journal_Title

Communications, IEE Proceedings-

Publisher

iet

ISSN

1350-2425

Type

jour

DOI

10.1049/ip-com:20010615

Filename

984381