基于改进Walsh-Hadamard变换的删除卷积码盲解码算法

摘要

针对高误码率情况下删除卷积码的盲解码问题,提出了一种删除卷积码的盲解码算法.通过采用改进的沃尔什-哈达马变换(Walsh-Hadamard translate,WHT),识别出删除卷积码的高维校验矩阵;再基于源卷积码的生成矩阵与校验矩阵间的约束关系,求出了源卷积码的最佳生成多项式和删除模式,并提出了码字同步的方法,最终按识别出来的参数构建盲解码模型,实现了删除卷积码的盲解码.仿真结果表明,在误码率低于0.01,的情况下,该算法的译码正确率能达到93%.%In order to solve the problem of blind decoding punctured convolutional codes at high bit-error rates, this paper proposed a blind decoding algorithm. Through applying the advanced Walsh-Hadamard transform, recognized the high dimensionality parity-check matrix of punctured convolutional codes. Moreover, solved the generator matrix and puncture map of the source convolutional codes based on the constraint relationship between the parity-check matrix and the generator matrix. Then proposed a method of codeword synchronization. According to the recognition results, established a model of blind decoding of punctured convolutional codes. The simulation results show, the bit correct rate after decoding of this algorithm can be up to 93％ under the condition of BER lower than 0.01.