一种线性分组码参数的盲识别方法

针对线性分组码参数的盲识别问题,根据实际序列与随机序列码重分布相似度差异最大的特性,提出一种基于码重相似度识别码字长度和码字同步点的方法,在此基础上,利用一种新的特征——深度分布,识别生成矩阵,利用高斯消去法产生典型生成矩阵,实现了线性分组码的盲识别。码重相似度识别方法简单易行,理论分析及仿真实验表明该方法的容错性较强,误码率为0.01条件下识别效果较好。

A Blind Recognition Method of Linear Block Codes Parameters

In view of the problem of the blind recognition of linear block code parameters, the code length and synchronization point are identified by the recognition method based on the Similarity of Code Weight that is proposed by the most notable differences whose the similarity of code weight distribution between the actual sequence and random sequence ,and the generator matrix is recognised by the feature of depth distribution, typical generator matrix is produced by using Gauss Elimination ,the blind recognition of linear block codes is realized.The recognition method is simple,theoretical analysis and simulation experience show that the method has better error-tolerance and the recognition has better performance in 0.01 BER.