【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。更多还原

【Abstract】 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.更多还原