Combined Coding and Detection for High Density Storage Channels

高密度存储通道的组合编码和检测

• 批准号: 9805195
• 负责人: Jaekyun Moon
• 金额: $ 27万
• 依托单位: University of Minnesota-Twin Cities
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1998
• 资助国家: 美国
• 起止时间: 1998-08-01 至 2001-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9805195&HistoricalAwards=false
• 关键词: Combined; Coding; Detection; Density; Storage

This project addresses methods for increasing the density and robustness of data storage systems. Specifically, it extends our work on combined maximum transition run (MTR) coding and signal space detection to recording channels at very high densities and to cope more efficiently with realistic noise and nonlinearity encountered in such channels. In particular, MTR coding and other distance-enhancing code constraints will be investigated for use in future high density recording channels. Generalized signal space detection methods which will be used in conjunction with the distance-enhancing codes will also be studied. The proposed research tasks are: 1) performance analysis of MTR codes in the presence of medium noise and nonlinearity; 2) distance analysis and search for other distance-enhancing code constraints incorporating the data-dependent nature of transition noise and nonlinearity; 3) derivation of optimal hyperplanes better suited to data-dependent noise and nonlinearity; and 4) finding generalized signal space partitioning methods in higher dimensions to develop efficient constrained-delay detectors.

该项目致力于提高数据存储系统的密度和稳健性的方法。 具体来说，它将我们在组合最大转换运行（MTR）编码和信号空间检测方面的工作扩展到以非常高的密度记录通道，并更有效地应对此类通道中遇到的现实噪声和非线性。 特别是，将研究 MTR 编码和其他距离增强代码约束，以便在未来的高密度记录通道中使用。 还将研究与距离增强码结合使用的广义信号空间检测方法。提出的研究任务是：1）在存在中等噪声和非线性的情况下MTR码的性能分析； 2) 距离分析和搜索其他距离增强代码约束，其中包含过渡噪声和非线性的数据依赖性质； 3）推导更适合数据相关噪声和非线性的最佳超平面； 4）寻找更高维度的广义信号空间划分方法以开发高效的约束延迟检测器。