Simplified Neural Network Equalizer With Noise Whitening Function for GPRML System

Author

Osawa, Hisashi ; Hino, Masaya ; Shinohara, Nobuhiko ; Okamoto, Yoshihiro ; Nakamura, Yasuaki ; Muraoka, Hiroaki

Author_Institution

Grad. Sch. of Sci. & Eng., Ehime Univ., Matsuyama

Volume

44

Issue

11

fYear

2008

Firstpage

3777

Lastpage

3780

Abstract

A new design method of the simplified neural network equalizer (NNE) with the noise whitening function for a generalized partial response (GPR) channel is proposed. The long-term bit error rate performance of GPR class-I maximum likelihood (GPR1ML) system employing NNE in perpendicular magnetic recording (PMR) channel with thermal decay is also obtained by computer simulation using our thermal decay model for a CoPtCr-SiO₂ PMR medium with KuV/kT=60. The performance of GPR1ML system with NNE (GPR1ML-NNE) is superior to that of GPR1ML with a transversal filter equalizer. The PR1ML system using a noise whitening NNE and a two-state Viterbi detector provides almost equivalent performance to that of GPR1ML-NNE having a 16-state detector.

Keywords

equalisers; filters; maximum likelihood detection; neural nets; partial response channels; perpendicular magnetic recording; GPR class-I maximum likelihood system; GPRML system; filter equalizer; generalized partial response channel; neural network equalizer; noise whitening function; perpendicular magnetic recording channel; thermal decay model; two-state Viterbi detector; Generalized partial response class-I maximum likelihood (GPR1ML) system; neural network equalizer; perpendicular magnetic recording (PMR); thermal decay;

fLanguage

English

Journal_Title

Magnetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9464

Type

jour

DOI

10.1109/TMAG.2008.2002425

Filename

4717447