基于高阶统计处理技术的m-序列帧同步码识别

该文针对保密通信体制下帧同步码识别问题，在对m-序列采样后的三阶相关函数(TCF)和偏三阶相关函数进行研究的基础上，首次提出了基于偏三阶相关函数峰值特性的识别方法分析和判断帧长。该方法首先对同步码各位上的序列进行偏三阶相关函数运算，然后利用m-序列采样后的偏三阶相关函数峰值相似度高的特性区分信息码和同步码，最后通过进一步运算得到同步码的码长和起始位。仿真实验表明：该方法能够利用较少的数据快速准确地识别出帧同步码，并具有良好的容错性能。

A Recognition Method of m-sequence Synchronization Codes Using Higher-order Statistical Processing

The Triple Correlation Function (TCF) and the partial TCF of sampled m-sequence are studied and described in this paper. To recognize synchronization codes of secure communications, a recognition method is proposed firstly based on the peak feature of the partial TCF to analyze and judge frame length. At first, the partial TCF is got by operating the synchronization codes; then, the information codes and synchronization codes are distinguished by the similar peak feature; finally, the code length and the first bit of synchronization code are got. The simulation results show the method can found the frame synchronization code quickly and exactly by fewer codes and recognize synchronization codes.