Coding and Modulation for Digital Recording and Communications

在过去的15年中，在数字数据传输和存储的编码、调制和信号处理方面取得了几项重大的概念和实践进展。这些导致实现了接近语音波段数据调制解调器的理论极限的数据速率；台式计算机磁盘驱动器的面密度接近每平方英寸1千兆位；最近，端到端数据传输的可靠性在信噪比仅略高于香农下限的情况下实现。这些进展包括：用于带宽限制信道的栅格编码调制的发展；通信理论在数字记录信道中的应用输入受限信道编码设计理论的出现；以及长“随机”码的迭代“涡轮”解码技术的发展。尽管取得了这一进展，但仍有许多基本的和实际的问题必须加以解决，以便更好地理解现有的方法及其适用性，并为建立未来的数据通信、存储和通信系统提供新的工具。该项目将重点研究编码和调制方面的问题，特别是在高密度数字记录和多用户无线通信中的应用。目标是开发编码调制技术，以便在存在各种信道损伤的情况下有效地存储和传输数据，包括：输入约束、符号间干扰（ISI）、同信道干扰（CCI）、加性噪声和信号衰落。研究的一个组成部分将是对实现这些技术的算法和架构的复杂性的调查。该项目的另一个目标是通过将研究成果和相关背景材料整合到UCSD现有和新的工程课程中来增强教育基础设施。课程将围绕以下主题展开：1)数据传输与存储的编码调制，以及2)符号动力学与约束编码。--

In the past 15 years, there have been several major conceptual and practical advances in coding, modulation, and signal processing for digital data transmission and storage. These have resulted in the realization of data rates approaching theoretical limits for voiceband data modems; areal densities approaching one gigabit per square inch in disk-drives for desk-top computers; and, most recently, end-to-end data transfer reliability achieved at signal-to-noise ratios only slightly beyond the Shannon lower bound. These advances include: the development of trellis-coded modulation for bandwidth-limited channels; the application of communication theory to digital recording channels ; the emergence of a theory of code design for input-constrained channels; and the development of iterative, "turbo"- decoding techniques for long "random" codes. Despite this progress, there remain many fundamental and practical problems that must be addressed, both to better our understanding of existing approaches and their applicability, as well as to offer new tools for use in building future data communications and storage and communication systems. This project will focus on problems in coding and modulation, particularly for application to high density digital recording and multi-user wireless communications. The objective is to develop coded-modulation techniques for efficient data storage and transmission in the presence of various channel impairments, including: input constraints, inter-symbol interference (ISI), co-channel interference (CCI), additive noise, and signal fading. A component of the research will be the investigation of the complexity of algorithms and architectures that implement these techniques. Another goal of the project is to enhance the educational infrastructure by integrating the research results and relevant background material into existing and new engineering courses at UCSD. Courses will be developed on the topics of 1) Coded-Modulation for Data Transmission and Storage, and 2) Symbolic Dynamics and Constrained Coding. --