Adaptively combined LMS and logistic equalizers

Author

Martinez-Ramón, Manel ; Artés-Rodriguez, Antonio ; Navia-Vázquez, Ángel ; Figueiras-Vidal, Anibal R.

Author_Institution

Dept. of Signal Theor. & Commun., Univ. Carlos de Madrid, Spain

Volume

11

Issue

10

fYear

2004

Firstpage

777

Lastpage

779

Abstract

An adaptive, convex linear combination of the outputs of a standard least mean square (LMS) equalizer and a sigmoidal equalizer is proposed. This procedure results in improving the speed of the LMS equalizer while retaining the low steady-state error of the sigmoidal filter. Appropriate adaption schemes for both of the filters and for the combination parameters are established. Simulations of practical communication applications demonstrate the effectiveness of this adaptive combination.

Keywords

adaptive equalisers; adaptive filters; least mean squares methods; adaption scheme; adaptive convex linear combination; adaptively combined LMS; communication application; logistic equalizer; low steady-state error; nonlinear equaliser; sigmoidal equalizer; sigmoidal filter; standard least mean square equalizer; Adaptive equalizers; Adaptive signal processing; Bit error rate; Convergence; Decision feedback equalizers; Finite impulse response filter; Least squares approximation; Logistics; Signal processing algorithms; Steady-state; Adaptive; equalization; least mean square; logistic; nonlinear;

fLanguage

English

Journal_Title

Signal Processing Letters, IEEE

Publisher

ieee

ISSN

1070-9908

Type

jour

DOI

10.1109/LSP.2004.835460

Filename

1336823