基于相关度统计的同步扰码盲识别方法  

Blind Recognition Method for Synchronous Scrambler Based on Statistical Correlation

作　　者：吕全通 张旻[1] 朱宇轩[3] 

机构地区：[1]电子工程学院网络工程系,合肥230037 [2]国防信息学院三系,武汉430000 [3]清华大学电子工程系,北京100084

出　　处：《数据采集与处理》2016年第3期570-576,共7页Journal of Data Acquisition and Processing

基　　金：国家自然科学基金(60972161)资助项目;安徽省自然科学基金(1408085QF115)资助项目

摘　　要：针对同步扰码的盲识别问题,提出了一种基于相关度统计的解决方法。首先利用同步扰码序列的自相关特性,实现对扰码阶数的判断,然后定义了加扰序列与待识别扰码序列的相关度函数,证明了正确识别时序列相关度值与信息序列不均衡度之间的线性关系,而错误识别时的序列相关度值与信息序列不均衡度之间线性无关;最后通过遍历扰码多项式及初态并寻找最大相关度值的方式实现了同步扰码的盲识别。仿真实验验证了理论分析的正确性和识别方法的有效性,证明本文方法具有一定的工程应用价值。A blind recognition method of synchronous scrambler parameter based on the statistical correla- tion is proposed. Firstly, the polynomial scrambler order is determined using the autocorrelation charac- teristics of the synchronous scrambler. Then, the correlation between the linear feedback shift register （LFSR） sequence and the scrambler sequence is defined. Moreover, it is proved that the correlation of correct LFSR sequence and the imbalance of information sequence is linearly dependent, while that of wrong LFSR sequence and the imbalance of information sequences is linearly independent. Finally, the polynomial and initial state of the scrambler is recognized with the maximum correlation value after searching for all possible polynomial and initial state of the scrambler. Experiment and simulation results verify the correctness of the theoretical analysis and the effectiveness of the proposed method.

关 键 词：同步扰码 盲识别 相关度 多项式 初态 

分 类 号：TN911.7[电子电信—通信与信息系统]