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

doi:10.1109/TMAG.2011.2157808

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

Broadband Engineering Division

Research output: Contribution to journal › Article › peer-review

53 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 language	English
Article number	6028240
Pages (from-to)	3558-3561
Number of pages	4
Journal	IEEE Transactions on Magnetics
Volume	47
Issue number	10
DOIs	https://doi.org/10.1109/TMAG.2011.2157808
Publication status	Published - 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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10.1109/TMAG.2011.2157808

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title = "Read/write channel modeling and two-dimensional neural network equalization for two-dimensional magnetic recording",

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.",

keywords = "2D-NNE, Channel modeling, TDMR, double-shielded reader sensitivity function, genetic algorithms",

author = "Masato Yamashita and Hisashi Osawa and Yoshihiro Okamoto and Yasuaki Nakamura and Yoshio Suzuki and Kenji Miura and Hiroaki Muraoka",

note = "Funding Information: ACKNOWLEDGMENT The authors would like to thank Prof. H. Aoi and Assoc. Prof. S. Greaves of Tohoku University, Prof. T. Wadayama of Nagoya Institute of Technology, and Dr. M. Z. Ahmed of University of Plymouth for their helpful discussions. This work was supported in part by the Japan Society for the Promotion of Science (JSPS) under Grants-in-Aid for Scientific Research 21360188, and in part by the Storage Research Consortium (SRC), Japan, under Grants-in-Aid.",

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AU - Suzuki, Yoshio

AU - Miura, Kenji

AU - Muraoka, Hiroaki

N1 - Funding Information: ACKNOWLEDGMENT The authors would like to thank Prof. H. Aoi and Assoc. Prof. S. Greaves of Tohoku University, Prof. T. Wadayama of Nagoya Institute of Technology, and Dr. M. Z. Ahmed of University of Plymouth for their helpful discussions. This work was supported in part by the Japan Society for the Promotion of Science (JSPS) under Grants-in-Aid for Scientific Research 21360188, and in part by the Storage Research Consortium (SRC), Japan, under Grants-in-Aid.

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

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Keywords

ASJC Scopus subject areas

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