基于迭代列消元法的线性分组码参数盲识别

针对线性分组码参数盲识别容错性能差的问题，提出基于迭代列消元法的线性分组码参数盲识别方法。首先对截获矩阵应用迭代列消元法，将其相关列对应各个窗内的转移矩阵中的列向量作为候选校验向量，再根据截获矩阵对偶码空间归一化维数来识别码字长度和同步时刻，最后将对偶码字进行初等行变换识别校验矩阵。仿真结果证明，与以往盲识别方法相比，所提方法容错性能好，适用于各种码率的线性分组码的码字长度、同步时刻和生成多项式识别。

Blind recognition of linear block code parameters based on iterative column elimination algorithm

To improve the fault tolerance performance of blind identification of linear block code parameters,an iterative column elimination algorithm is proposed. First,the iterative column elimination algorithm is applied in the intercept matrix,and then the corresponding column in the transition matrix of a dependent column is placed in candidate parity-check matrix. In addition,the codeword length and synchronization are estimated when the normalized dual space dimension reaches the maximum. Finally,check matrix is estimated through elementary row transformation of dual code. The simulation results show that compared with previous blind identification method,the proposed method has good fault tolerance,and can recognize codeword length,synchronization and generator polynomial for linear block codes with different rate.