Read/Write Channel Modeling and Two-Dimensional Neural Network Equalization for Two-Dimensional Magnetic Recording
Read/Write Channel Modeling and Two-Dimensional Neural Network Equalization for Two-Dimensional Magnetic Recording
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DOI：
10.1109/tmag.2011.2157808
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发表时间：
2011-09
影响因子：
2.1
通讯作者：
M. Yamashita;H. Osawa;Yoshihiro Okamoto;Y. Nakamura;Yoshio Suzuki;K. Miura;Hiroaki Muraoka
中科院分区：
文献类型：
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作者：
M. Yamashita;H. Osawa;Yoshihiro Okamoto;Y. Nakamura;Yoshio Suzuki;K. Miura;Hiroaki Muraoka
提出了一种基于离散Voronoi图的非磁性颗粒边界离散介质模型的精确建模方法。一个简单的封闭形式表示的双屏蔽读取器灵敏度函数也提出了建模的阅读过程。此外，提出了一种二维神经网络均衡器（2D-NNE），以减轻道间干扰和抖动类介质噪声的影响。基于所提出的读写信道模型，通过计算机仿真，得到了采用2D-NNE的部分响应I类最大似然（PR 1 ML）系统的误比特率性能。其性能远上级采用二维有限冲激响应均衡器的PR 1 ML系统。
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.