A decision feedback recurrent neural equalizer for digital communication

Author

Ong, Sunghwan ; Choi, Sooyong ; You, Cheolwoo ; Hong, Daesik

Author_Institution

Dept. of Electron. Eng., Yonsei Univ., Seoul, South Korea

Volume

33

Issue

5

fYear

1997

fDate

9/1/1997 12:00:00 AM

Firstpage

2767

Lastpage

2769

Abstract

An important problem in high density digital magnetic recording system is that of channel equalization, that is, removal of distortions introduced by linear or nonlinear message corrupting mechanisms in the reconstruction of the original symbols. Severe nonlinear distortions in high density digital magnetic recording systems can make it difficult for conventional equalizers to reconstruct the originally recorded symbols. In this paper, we propose a Decision Feedback Recurrent Neural Equalizer (DFRNE) with a simple structure, which can recover the original symbols correctly under severe nonlinear distortion

Keywords

decision feedback equalisers; digital magnetic recording; recurrent neural nets; decision feedback recurrent neural equalizer; digital communication; high density magnetic recording; message corruption; nonlinear distortion; signal reconstruction; Adaptive equalizers; Decision feedback equalizers; Digital communication; Digital magnetic recording; Equalizers; Equations; Intersymbol interference; Neural networks; Neurofeedback; Nonlinear distortion; Recurrent neural networks;

fLanguage

English

Journal_Title

Magnetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9464

Type

jour

DOI

10.1109/20.617724

Filename

617724