Performance of neural equalizers on partial erasure model

Author

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

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

2788

Lastpage

2790

Abstract

The increase in the capacity of the digital magnetic recording systems inevitably causes severe intersymbol interference (ISI) and nonlinear distortions in the magnetic channel. In this paper, to cope with severe ISI and nonlinear distortions a neural decision feedback equalizer (NDFE) is applied to the digital magnetic recording channel-partial erasure model. In the performance comparison between the NDFE and the conventional decision feedback equalizer (DFE) via simulations, it has been found that as nonlinear distortions increase the NDFE has more SNR (Signal to Noise Ratio) advantage over the conventional DFE

Keywords

decision feedback equalisers; digital magnetic recording; electric distortion; intersymbol interference; neural nets; partial response channels; SNR; decision feedback equalizer; digital magnetic recording systems; intersymbol interference; magnetic channel; neural equalizers; nonlinear distortions; partial erasure model; Bit error rate; Decision feedback equalizers; Degradation; Digital magnetic recording; Intersymbol interference; Least squares approximation; Magnetic memory; Multilayer perceptrons; Nonlinear distortion; Pulse shaping methods; Shape; Signal to noise ratio; Space vector pulse width modulation;

fLanguage

English

Journal_Title

Magnetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9464

Type

jour

DOI

10.1109/20.617731

Filename

617731