A Study on Iterative Decoding With LLR Modulator Using Neural Network in SMR System

被引：8
|
作者：
Nishikawa, M. [1 ]
Nakamura, Y. [1 ]
Osawa, H. [1 ]
Okamoto, Y. [1 ]
Kanai, Y. [2 ]
机构：
[1] Ehime Univ, Grad Sch Sci & Engn, Matsuyama, Ehime 7908577, Japan
[2] Niigata Inst Technol, Dept Informat & Elect Engn, Kashiwazaki 9451103, Japan
来源：
IEEE TRANSACTIONS ON MAGNETICS | 2019年 / 55卷 / 07期
关键词：
Log-likelihood ratio (LLR); neural network; shingled magnetic recording (SMR);
D O I：
10.1109/TMAG.2019.2891711
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：
This paper focuses on the shingled magnetic recording (SMR) as the recording system for further high-density hard disk drives. Previously, we applied a log-likelihood ratio (LLR) modulator to the low-density parity check coding and iterative decoding system in SMR to improve the decoding performance. In this paper, we propose a new LLR modulator using neural network. Furthermore, we clarify that the proposed LLR modulator using neural network realizes effective iterative decoding in a read/ write channel with pattern-dependent medium noise.
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收藏
页数：4
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