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.

长期以来，卷积代码一直被认为是对各种通信渠道提供错误控制的首选方法。可以在深空通信，数字卫星传输，军事通信，移动蜂窝电话和高速数据调制解调器中找到其实际应用的示例。尽管有许多实际重要性的例子，但与其他误差控制方法相比，卷积代码的基本特性的研究相对较少。该项目是一项基础研究计划，介绍了几种新方法，以找到有效的编码和解码卷积代码的方法。在格子编码的调制，迭代解码技术和非常复杂的代码的解码方面的最新进展中，进行了五个研究领域：级联的卷积代码，多级卷积代码，产品卷积代码，非标准卷积代码以及不平衡的记忆代码以及不平衡的内存记忆代码卷积代码。目的是发现与标准结构相比，可以在错误性能，解码器复杂性和系统延迟之间提供更好的权衡取舍。特别强调研究延迟在确定绩效与复杂性之间关系的基本作用。这项研究的结果可以为现有的编码方案提供可行的替代方案，例如低地球轨道卫星网络，数字移动蜂窝通信和无线室内室内数据包透明度系统。