Title :
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
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;
Journal_Title :
Magnetics, IEEE Transactions on
DOI :
10.1109/TMAG.2008.2002425
