New Directions In Convolutional Codes

卷积码的新方向

• 批准号: 9522939
• 负责人: Daniel Costello
• 金额: $ 25.26万
• 依托单位: University of Notre Dame
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1996
• 资助国家: 美国
• 起止时间: 1996-02-01 至 2000-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9522939&HistoricalAwards=false
• 关键词: New; Directions; Convolutional; Codes

Convolutional codes have long been recognized as the preferred method of providing error control over a variety of communication channels. Examples of their practical application can be found in deep space communication, digital satellite transmission, military communications, mobile cellular telephony, and high speed data modems. Despite the many examples of their practical importance, relatively little research has been conducted into the fundamental properties of convolutional codes, compared to other methods of error control. This project is a program of basic research into several new approaches to finding efficient methods of encoding and decoding convolutional codes. Spurred by recent advances in trellis coded modulation, iterative decoding techniques, and the decoding of very complex codes, five areas of research are undertaken: cascaded convolutional codes, multilevel convolutional codes, product convolutional codes, non-standard rate convolutional codes, and unbalanced memory convolutional codes. The goal is to uncover new code structures which can offer better trade-offs between error performance, decoder complexity, and system delay than the standard structure. Particular emphasis is given to studying the fundamental role that delay plays in determining the relationship between performance and complexity. The results of this research may provide viable alternatives to existing coding schemes in applications such as low earth orbiting satellite networks, digital mobile cellular communications, and wireless indoor packet transmissiol systems.

卷积码长期以来被认为是在各种通信信道上提供差错控制的优选方法。它们的实际应用的例子可以在深空通信、数字卫星传输、军事通信、移动的蜂窝电话和高速数据调制解调器中找到。尽管有许多例子证明了它们的实际重要性，但与其他错误控制方法相比，对卷积码的基本特性进行的研究相对较少。该项目是一个基础研究计划，旨在寻找编码和解码卷积码的有效方法。受网格编码调制、迭代解码技术和非常复杂的码的解码的最新进展的刺激，进行了五个领域的研究：级联卷积码、多级卷积码、乘积卷积码、非标准速率卷积码和非平衡存储卷积码。我们的目标是发现新的代码结构，可以提供更好的权衡错误性能，解码器的复杂性，和系统延迟比标准结构。特别强调的是研究延迟在确定性能和复杂性之间的关系中所起的基本作用。这项研究的结果可能提供可行的替代现有的编码方案的应用，如低地球轨道卫星网络，数字移动的蜂窝通信，和无线室内分组传输系统。