Soft-Decision Decoding of Codes

代码的软判决解码

基本信息

批准号：
9814054
负责人：
Shu Lin
金额：
$ 37.5万
依托单位：
University of Hawaii
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
1999
资助国家：
美国
起止时间：
1999-03-01 至 2000-07-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=9814054&HistoricalAwards=false
关键词：
Soft Decision Decoding Codes

项目摘要

In recent years, there has been a great demand for efficient and reliable digital data transmission and storage systems. This demand has been accelerated by the emergence of large-scale, high-speed data networks and global satellite telephony for exchange, processing, and storage of digital information in military, governmental, and private spheres. A merging of telecommunications and computer technology is required in the design of these systems. A major concern of the designer is the control of transmission and storage errors so that reliable reproduction of data can be obtained. This research proposal addresses some efficient means to achieve reliable data transmission and storage.Error control coding is the most powerful technique for achieving reliable data transmission and has become an integral part in almost every data communication system design. Today very sophistical error control coding schemes are being used in a broad range of data communication systems to achieve reliable data transmission. This project is set up to investigate an important aspect of error control coding, soft-decision decoding of codes. The objective is to devise efficient soft-decision decoding algorithms for codes to attain either optimal or suboptimal error performance with reduced decoding complexity and delay. Algorithms to be investigated include: (1) MAP algorithms; (2) MLD and suboptimum decoding algorithms; (3) trellis-based decoding algorithms; and (4) turbo decoding of Reed-Solomon codes through binary decomposition. Important features in these decoding algorithms are: bi-directional and parallel processing, code decomposition and multistage decoding.

近年来，人们对高效且可靠的数字数据传输和存储系统的需求很大。大规模，高速数据网络和全球卫星电话的出现加速了这一需求，以交流，处理和存储军事，政府和私人领域的数字信息。在这些系统的设计中，需要融合电信和计算机技术。设计师的主要问题是控制传输和存储误差，以便可以获得可靠的数据复制。该研究提案涉及一些有效的手段，以实现可靠的数据传输和存储。ERROR控制编码是实现可靠数据传输的最强大技术，并且几乎已成为几乎每个数据通信系统设计的组成部分。如今，非常详尽的错误控制编码方案正在广泛的数据通信系统中使用，以实现可靠的数据传输。该项目的设置是为了调查错误控制编码的重要方面，代码的软决定解码。目的是为代码设计有效的软性解码算法，以达到最佳或次优误差性能，并降低解码的复杂性和延迟。要研究的算法包括：（1）地图算法；（2）MLD和次级解码算法；（3）基于格子的解码算法；（4）通过二进制分解对芦苇 - 固体代码的涡轮解码。这些解码算法中的重要特征是：双向和并行处理，代码分解和多阶段解码。