一类卷积码的随机交织参数盲识别方法

Blind Recognition Algorithm based on Random Interwoven Parameter of A Convolution Code

针对卷积码随机交织参数的盲识别问题,重点对随机交织关系进行研究,提出了一种针对(2,1,m)卷积码随机交织参数进行盲识别的方法。该方法通过建立矩阵分析模型,在获取卷积码编码参数和交织长度的基础上,利用列删除矩阵的秩准则算法确定子码交织关系,进而利用基构造法和穷举比对法确定随机交织关系,实现了对(2,1,m)系统/非系统卷积码随机交织参数的盲识别。实验仿真表明,在仅获取含误码的卷积码交织后数据序列的情况下,实际数据的编码、交织参数识别分析结果正确。

Aiming at the problem of blindly recognize convolution code random interwoven, mainly study on the relationships of random interwoven is mainly studied, and a method of random interwoven parameter with（2,1,m）convolution code is proposed. The method first build the matrix analysis model, then on the basis of obtaining the parameter of convolution code and the length of interwoven, use the way of the minimum rank of delete column matrix to confirm the sub-code interwoven relationships, and use base construction and exhaustive comparison to ensure random interwoven relationships, finally recognize （2,1,re）systematic/nonsystematic convolution code random interwoven parameter blindly. Experimental simulation results show that, in the case of only known after-mixed convolution code data sequences which contain errors, the actual data＇ s encoding, recognition analysis results of interwoven parameter are correct.