针对线性分组码的自同步扰码识别问题,提出了一种基于码重分布距离的自同步扰码识别方法。该方法首先证明了线性分组码的自同步扰码序列构造不同维数的矩阵时,矩阵周期性的存在线性相关列,且该周期为线性分组码的码长;然后分析了线性分组码的码重分布的独特特性;在获取线性分组码码长的基础上,通过遍历计算抽取序列与随机序列的码重分布距离并寻找最大值的方式实现了对自同步扰码多项式的识别。仿真实验表明,该方法在序列不均衡度ε=0时也能有效识别,且不需要已知线性分组码的编码参数。
A recognition method based on code weight distributing distance was proposed to solve the problem of the identifying of the self-synchronized scrambler placed after the linear block code.Firstly,the conclusion was proved that the sequence of self-synchronized scrambler after a linear block encoder in the different dimen-sion matrix structure was periodic exist linear correlation matrix,and the period was the length of linear block code;Then,the weight distribution characteristic of the linear block code was analyzed.Finally,the length of linear block code are being identified,and the polynomial of the scrambler was determined with maximum value searching for all possible distance of code weight distributing of the extracted sequence and the random sequence. Simulation results showed that this method could effectively identify the self-synchronized scrambler when the sequence bias is equal to zero without knowing the parameters of the linear block code.