Design of error correction systems for disk drives

Design of error correction systems for disk drives
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DOI:
10.1109/20.703881
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发表时间:
1998-07
影响因子:
2.1
通讯作者:
C. M. Riggle;S. Mccarthy
C. M. Riggle;S. Mccarthy
中科院分区:
工程技术4区
文献类型:
--
作者:
C. M. Riggle;S. Mccarthy

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提出了某些模型,用于在优化磁盘和光磁盘存储设备中使用其使用的情况下分析芦苇 - 溶解(R-S)误差校正系统。引用了有关模型解决哪些注意事项的参考文献的简要说明。这项工作是出于希望在用户需求(可接受的错误率,性能等),记录代码,记录频道,读取通道和成本的限制内实现最高可能的存储密度的愿望。一对模型将软误差率和从读取通道的突发长度分布转换为各种交织水平的硬级错误率的转换。另一个使用上述模型的模型保守地估算了未检测到的位错误率(错误校正位错误率)。该模型比以前发布的McEliece-Swanson Bound更接近模拟示例。第三个模型包括TAS(热难度)对硬钻头错误率的影响。第四组模型包括热难度(TAS)对未检测到的位错误率的影响。总的来说,这些模型在数据存储系统的读取部分和错误校正系统之间提供了一个桥梁。五组模型解决了用户感知的性能。最后,根据一组示例数据提供了一个示例,以显示如何应用模型以帮助选择最佳系统。
Certain models are presented for analysis of Reed-Solomon (R-S) error correction systems in the context of optimizing their use in magnetic and optical disk storage devices. A brief statement of design considerations is noted with references as to which considerations are addressed by the models. This work is motivated by the desire to achieve the highest possible storage density within the constraints of user requirements (acceptable error rates, performance, etc.), recording code, recording channel, read channel, and cost. One pair of models treats conversion of soft error rates and burst length distributions from the read channel into hard bit error rates for various levels of interleaving. Another model, using the above models, conservatively estimates undetected bit error rate (miscorrection bit error rate). This model is closer to simulation examples than the previously published McEliece-Swanson bound. A third model includes effect of TAs (thermal asperities) on hard bit error rate. A fourth set of models includes the effect of thermal asperities (TAs) on an undetected bit error rate. Collectively, these models provide a bridge between read channel portions of data storage systems and error correction systems. A fifth set of models addresses user-perceived performance. Finally, an example is offered based upon one set of sample data to show how the models can be applied to help select an optimum system.