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.
出处
《计算机应用研究》
CSCD
北大核心
2011年第4期1457-1459,1464,共4页
Application Research of Computers
基金
国家自然科学基金资助项目(60902017)
