知识与财富的链接
用卷积码的活性距离来分析卷积码的性能是随着分析Turbo码的性能而开始的,卷积码的活性距离是自由距离的扩展,它主要是由一个参数来决定的,即活性距离的斜率α。在对卷积码的活性距离进行简要介绍后,主要针对应用α对编织卷积码进行优化作出了探讨,指出了卷积码的活性距离α是分析用卷积码作为成员码的组合编码性能的重要参数。这对优化用卷积码作为成员码的组合编码,降低其编码复杂性有重要作用,也对推动该类组合码的应用有较高的价值。最后给出了仿真结果。
The active distance of the convolutional codes is used to analyse the performance of the convolutional codes with the turbo codes was discovered. The active distence of convolutional codes is the extension of the free distance, and it is determined by the parameter α, viz. the slope of the active distance. The active distance of the convolutional codes are presented in this paper. This paper discusses how to optimize woven convolutional codes. It also points that the parameter α is important to analyse and optimize the performance of combinational codes with covolutional codes as the component codes, which also sinplize the encoding complication. This promotes the application of combined codes. Finally the simulation results are shown.
