Read/Write Channel Modeling and Two-Dimensional Neural Network Equalization for Two-Dimensional Magnetic Recording

被引：53

作者：

Yamashita, Masato ^{[1
]}

Osawa, Hisashi ^{[1
]}

Okamoto, Yoshihiro ^{[1
]}

Nakamura, Yasuaki ^{[1
]}

Suzuki, Yoshio ^{[2
]}

Miura, Kenji ^{[3
]}

Muraoka, Hiroaki ^{[3
]}

机构：

[1] Ehime Univ, Grad Sch Sci & Engn, Matsuyama, Ehime 7908577, Japan

[2] Nihon Univ, Coll Engn, Koriyama, Fukushima 963864, Japan

[3] Tohoku Univ, Elect Commun Res Inst, Sendai, Miyagi 9808577, Japan

来源：

IEEE TRANSACTIONS ON MAGNETICS | 2011年 / 47卷 / 10期

基金：

日本学术振兴会;

关键词：

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

D O I：

10.1109/TMAG.2011.2157808

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：3558 / 3561

页数：4

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