摘要
介绍了删除卷积码的定义,根据删除卷积码与源卷积码之间的关系,构建了删除卷积码识别的数学模型,针对Walsh-Hadamard变换在删除卷积码校验矩阵识别中存在运算量和数据量过大的问题,对校验矩阵方程组进行了变形,提出部分Walsh-Hadamard变换(PWHT),有效地识别出校验矩阵,并在此基础上识别源码的生成矩阵和删除模式,进行仿真实验。结果表明在误码率为0.03的情况下,识别概率达到99.8%以上。
The definition of punctured convolutional codes is introduced. And the math model of recognizing is built. Walsh-Hadamard transform is used in recognizing parity-check matrix of convolutional codes with error code-element. Aim at the problem of large operation and data quantity, the equation is transmuted and Part Walsh-Hadamard Transform（PWHT）is established. The parity-check matrix can be recognized by this method effectively. The generator matrix and puncture map of the source convolutional codes are also solved based on the parity-check matrix. The simulation experiment is done and the results show that recognizing correctly rate is more than 99.8% when BER is 0.03.
出处
《计算机工程与应用》
CSCD
2012年第16期140-144,共5页
Computer Engineering and Applications
基金
国家自然科学基金(No.60902017)
安徽省自然科学基金(No.10040606Q60)
