高约束度卷积码的一种译码方法及其性能  

A kind of Method and its Performance for Decoding the High Constraint Convolutional Codes

作　　者：胡爱群[1] 苏杰[1] 何振亚[1] 

机构地区：[1]东南大学

出　　处：《通信学报》1996年第4期27-33,共7页Journal on Communications

基　　金：国家863计划资助

摘　　要：本文提出了高约束度卷积码的一种新的译码方法──状态扩展（ＳＳＤ）方法。该方法先将译码状态扩展一倍，再用最大似然维特比译码原理进行译码，目的是通过增加储存量来减少运算量。ＳＳＤ方法度量值迭代简单，判决输出方便。文中以约束度分别为Ｋ＝７和Ｋ＝９的两种卷积码为例，讨论ＳＳＤ译码方法、性能及用ＤＳＰ器件的实现问题，并得出了几个结论。This paper presents a new kind of method for decoding the high constraint convolutional codes which adopts the states spreading decoding(SSD) scheme. The SSD doubles the states of the decoder and decodes input signals with the maximum likelihood Viterbi decoding principle to decrease the calculation complexity by increasing memory size. It is shown that the SSD has a simple form of metric iteration and makes output convenient. Two sorts of convolutional codes of K= 7and K= 9 are taken for examples to study the performance of SSD and its implementation with common DSP devices. Finally, some important conclusions are given.

关 键 词：数字通信 差错控制 维特比译码 卷积编码 

分 类 号：TN914.3[电子电信—通信与信息系统]