Read/write channel modeling and two-dimensional neural network equalization for two-dimensional magnetic recording

Masato Yamashita, Hisashi Osawa, Yoshihiro Okamoto, Yasuaki Nakamura, Yoshio Suzuki, Kenji Miura, Hiroaki Muraoka

Research output: Contribution to journalArticlepeer-review

42 Citations (Scopus)

Abstract

An accurate medium modeling method of discretized granular medium with non-magnetic grain boundaries using a discrete Voronoi diagram is proposed for two-dimensional magnetic recording. A simple closed-form representation of a double-shielded reader sensitivity function is also proposed for modeling the reading process. Moreover, a two-dimensional neural network equalizer (2D-NNE) is proposed to mitigate the influence of intertrack interference and jitter-like medium noise. The bit-error rate performance of partial response class-I maximum likelihood (PR1ML) system with the 2D-NNE is obtained by computer simulation based on the proposed read/write channel model. The performance is far superior to that of PR1ML system with a two-dimensional finite impulse response equalizer.

Original languageEnglish
Article number6028240
Pages (from-to)3558-3561
Number of pages4
JournalIEEE Transactions on Magnetics
Volume47
Issue number10
DOIs
Publication statusPublished - 2011 Oct

Keywords

  • 2D-NNE
  • Channel modeling
  • TDMR
  • double-shielded reader sensitivity function
  • genetic algorithms

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

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