New Bussgang methods for blind equalization

Author

Filho, João B Destro ; Favier, Gérard ; Romano, João M Travassos

Author_Institution

CNRS, Valbonne, France

Volume

3

fYear

1997

fDate

21-24 Apr 1997

Firstpage

2269

Abstract

This paper analyses Bussgang blind algorithms in terms of the minimization of an associated nonlinear cost function. Then, two new blind algorithms (modified decision directed and modified Bellini´s (1986)) are proposed and evaluated by computer simulation. The simulation results show the good behaviour of these new blind algorithms and that they converge faster than their standard counterparts. The Bussgang techniques are the oldest methods for blind channel equalization. These methods can be interpreted as stochastic gradient algorithms

Keywords

adaptive equalisers; convergence of numerical methods; decision theory; minimisation; pulse amplitude modulation; stochastic processes; Bussgang blind algorithms; Bussgang methods; PAM signals; adaptive equalisers; blind channel equalization; computer simulation; convergence; modified Bellini algorithm; modified decision directed algorithm; nonlinear cost function minimization; simulation results; stochastic gradient algorithms; Blind equalizers; Cost function; Differential equations; Minimization methods; Stochastic processes;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on

Conference_Location

Munich

ISSN

1520-6149

Print_ISBN

0-8186-7919-0

Type

conf

DOI

10.1109/ICASSP.1997.599504

Filename

599504