欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
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。
英文摘要：
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.
同期刊论文项目
同项目期刊论文
位置：