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上的进展。这些已导致实现语音频带数据调制解调器的数据速率接近理论极限；台式计算机的磁盘驱动器的面积密度接近每平方英寸1千兆比特；以及最近，在信噪比仅略高于香农下限的情况下实现的端到端数据传输可靠性。这些进展包括：用于带宽有限的信道的网格编码调制的发展；通信理论在数字记录信道中的应用；用于输入受限的信道的码设计理论的出现；以及用于长“随机”码的迭代的“Turbo”译码技术的发展。尽管取得了这一进展，但仍有许多根本性和实际问题需要解决，这既是为了更好地了解现有办法及其适用性，也是为了为建设未来的数据通信以及储存和通信系统提供新的工具。这个项目将集中在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。其目标是开发编码调制技术，以便在存在各种信道损害的情况下有效地存储和传输数据，这些损害包括：输入约束、码间干扰(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体系结构的复杂性进行调查。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加州大学圣迭戈分校现有和新的工程课程中来加强教育基础设施。课程将围绕以下主题展开：1)数据传输和存储的编码调制；2)符号动力学和约束编码。--

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. --