TF-Capacity-Approaching Coding and Detection for Page-Oriented Digital Recording Channels.

用于面向页面的数字记录通道的TF容量逼近编码和检测。

• 批准号: 0514859
• 负责人: paul siegel
• 金额: $ 45.52万
• 依托单位: University of California-San Diego
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-06-01 至 2008-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0514859&HistoricalAwards=false
• 关键词: TF; Capacity; Approaching; Coding; Detection

The availability of inexpensive, reliable, high-capacity data storage devices in compact form factors has revolutionized personal computing and information management during the past decade. More recently, with the introduction of high-density disk drives into such products as digital cameras, audio players, and set-top video recording systems, storage devices are transforming the world of consumer electronics. These popular applications, as well as the use of mass storage systems in science and commerce, will motivate continued advances in magnetic recording technology. These advances, such as perpendicular recording, are expected to yield areal densities as high as 500 billion bits of information per square inch. Beyond that, however, magnetic recording technology will likely encounter fundamental physical limits on achievable density and data transfer rate. Therefore, it is vital to pursue new approaches to high capacity digital information storage. Many of these approaches use page-oriented reading and writing, in contrast to today's track-oriented methods. Examples include recording on nano-scale patterned media, multi-beam two-dimensional optical recording, and optical holographic recording. This project studies theoretical limits on the storage capacity of these page-oriented technologies, as well as the signal processing and coding algorithms needed to achieve those limits in practice. Specifically, the project addresses theoretical and algorithmic aspects of coding and detection for noisy two-dimensional channels with intersymbol interference channels. The investigators study novel iterative, soft-input, soft-output detection methods for these channels, as well as capacity-approaching algebraic and graph-based error-control codes and their decoding algorithms. The project also develops information-theoretic foundations and construction techniques for two-dimensional constrained modulation codes. These signal processing and coding methods are combined in novel system architectures, whose performance is evaluated using analytical and computational methods.

在过去的十年中，廉价、可靠、高容量的紧凑型数据存储设备的可用性已经彻底改变了个人计算和信息管理。最近，随着高密度磁盘驱动器引入到诸如数码相机、音频播放器和机顶盒视频记录系统之类的产品中，存储设备正在改变消费电子产品的世界。这些流行的应用，以及在科学和商业中使用大容量存储系统，将推动磁记录技术的持续发展。这些进展，如垂直记录，预计将产生高达每平方英寸5000亿位信息的面密度。然而，除此之外，磁记录技术可能会遇到可实现的密度和数据传输速率的基本物理限制。因此，追求高容量数字信息存储的新方法至关重要。这些方法中的许多使用面向页面的阅读和写，与今天的面向跟踪的方法形成对比。实例包括在纳米尺度图案化介质上的记录、多光束二维光学记录和光学全息记录。本项目研究这些面向页面的技术的存储容量的理论限制，以及在实践中实现这些限制所需的信号处理和编码算法。 具体而言，该项目解决了理论和算法方面的编码和检测噪声的二维信道与符号间干扰信道。研究人员研究新的迭代，软输入，软输出检测方法，这些渠道，以及容量接近代数和图形为基础的差错控制码和解码算法。该项目还开发了二维约束调制码的信息理论基础和构造技术。这些信号处理和编码方法结合在新的系统架构，其性能进行评估，使用分析和计算方法。