针对加扰前信息序列为线性分组码情况下的自同步扰码盲识别问题，提出了一种有效的解决方法. 首先，从理论上分析了线性分组码与随机序列游程特性的差异，得出了扰码序列正确抽取与错误抽取时输出序列的游程特性的区别；然后，通过遍历寻找抽取后序列的游程比值与随机序列游程比值的欧几里得距离的最大值方式实现了自同步扰码多项式的盲识别.仿真实验验证了理论分析的正确性，解决了0、1 均衡情况下的线性分组码自同步扰码盲识别问题，具有一定的工程应用价值.
A blind recognition method of self-synchronous scrambler based on the linear
block code with unbiased information source is proposed. Different run characteristics of
the linear block code and random sequence are analyzed, leading to the conclusion that the
run feature of correctly extracted scrambler sequence differs from that of the wrong one.
A polynomial of the scrambler is determined with maximum value search in all possible
Euclidean distances between the run ratios of extracted and random sequences. Experiments
and simulation results show correctness of the theoretical analysis. Blind recognition
of self-synchronous scrambler after the linear block code with unbiased information source
can be realized, useful in engineering application.
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