基于传播算子算法的扰码序列估计方法

Estimation of scrambler based on propagator method

针对扰码序列的盲识别问题,提出了一种基于传播算子的估计方法。首先根据扰码长度将加扰数据分段排列得到观测矩阵,并计算观测矩阵的传播算子,得到扰码序列的初步估计,此时扰码序列中仍含有误码;采用最大似然方法估计出含错扰码序列的生成多项式,根据生成多项式完成扰码序列的最终估计,并根据扰码序列之间的相关性,实现扰码序列的盲同步。仿真实验验证了所提算法的有效性,并对算法计算量和误码适应性进行了理论分析。仿真结果表明,所提算法计算量明显少于已有的特征值分解算法。

A method based on propagators for scrambler blind recognition is proposed. Firstly, the rando- mized sequence is reshaped to a matrix according to the length of the scrambler. The scrambler which contains error codes could be estimated according to the propagator method. Secondly, the feedback polynomial of the scrambler is estimated based on the maximum likelihood method. Finally the correct scrambler is generated ac- cording to the polynomial and the synchronization is achieved according to the correlation between the scrambler and the recovered sequence. Validity of the algorithm is verified by the simulation results, and the computational load and error tolerance of the algorithm are analyzed, Case studies are presented to illustrate that the computational load of the new method is less than the eigenanalysis method.