Adaptive decision-feedback equalizer using forward-only counterpropagation networks for Rayleigh fading channels

Author

Kaneda, Ryuji ; Manabe, Takeshi ; Fujii, Satoshi

Author_Institution

ATR Opt. & Radio Commun. Res. Lab., Kyoto, Japan

fYear

1992

fDate

31 Aug-2 Sep 1992

Firstpage

570

Lastpage

578

Abstract

A forward-only counterpropagation network (FCPN) is proposed for nonlinear equalization of digital transmission channels. The FCPN is a type of multilayer feedforward network proposed by Hecht-Nielsen. Its learning mechanism is a combination of unsupervised self-organizing and supervised training. A decision-feedback equalizer based on FCPN was simulated on a digital computer. The results show that an FCPN-based equalizer can equalize transmission channels with time-varying characteristics modeled by Rayleigh fading adaptively by using the self-organization mechanism. The bit-error rate is lower than for the conventional equalizer using a linear transversal filter

Keywords

adaptive filters; digital radio systems; digital simulation; equalisers; error statistics; fading; feedforward neural nets; telecommunication channels; FCPN; Rayleigh fading channels; bit-error rate; decision-feedback equalizer; digital computer simulation; digital transmission channels; forward-only counterpropagation networks; multilayer feedforward network; nonlinear equalization; self-organization mechanism; supervised training; unsupervised self-organizing; Adaptive equalizers; Backpropagation algorithms; Decision feedback equalizers; Multilayer perceptrons; Nonhomogeneous media; Nonlinear optics; Optical fiber networks; Optical filters; Rayleigh channels; Transversal filters;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks for Signal Processing [1992] II., Proceedings of the 1992 IEEE-SP Workshop

Conference_Location

Helsingoer

Print_ISBN

0-7803-0557-4

Type

conf

DOI

10.1109/NNSP.1992.253655

Filename

253655