Nonlinear multilayer combining techniques for Bayesian equalizers using the radial basis function network as a digital magnetic storage equalizer

Author

Choi, Sooyong ; Hong, Daesik

Author_Institution

Yonsei Univ., Seoul, South Korea

Volume

35

Issue

5

fYear

1999

fDate

9/1/1999 12:00:00 AM

Firstpage

2319

Lastpage

2321

Abstract

In order to reduce the complexity and enhance the performance of the Bayesian equalizer using the radial basis function (RBF) network, a new equalizer using the RBF network with a nonlinear multilayer combiner (RNEQ) is proposed. The RNEQ is applied to a digital storage system in which the primary element of impairment is nonlinear distortion due to partial erasure. From computer simulation results, the RNEQ with almost 70% reduced structural complexity over the conventional equalizer using RBF network has nearly the same performance in terms of bit-error rate (BER) and mean squared error

Keywords

Bayes methods; digital magnetic recording; equalisers; nonlinear distortion; radial basis function networks; Bayesian equalizer; RNEQ; bit error rate; computer simulation; digital magnetic storage; mean squared error; nonlinear distortion; nonlinear multilayer combiner; partial erasure; radial basis function network; Bayesian methods; Binary phase shift keying; Bit error rate; Degradation; Equalizers; Magnetic multilayers; Nonhomogeneous media; Nonlinear distortion; Process design; Radial basis function networks;

fLanguage

English

Journal_Title

Magnetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9464

Type

jour

DOI

10.1109/20.800812

Filename

800812