基于相关度统计的同步扰码盲识别方法
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Blind Recognition Method for Synchronous Scrambler Based on Statistical Correlation
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    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。

    Abstract:

    A blind recognition method of synchronous scrambler paramet er based on the statistical correlation is proposed. Firstly, the polynomial scr ambler order is determined using the autocorrelation characteristics of the s ynchronous scrambler. Then, the correlation between the linear feedback shift register (LFSR ) sequence and the scrambler sequence is defined. Moreover, it is prov ed that the correlation of correct LFSR sequence and the imbalance of information sequence is linearly dependent, while that of wrong LFSR seq uence and the imbalance of information sequences is linearly independent. Fina lly, the polynomial and initial state of the scrambler is recognized with the ma ximu m correlation value after searching for all possible polynomial and initial stat e of the scrambler. Experiment and simulation results verify the correctness of t he theoretical analysis and the effectiveness of the proposed method.

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吕全通;张旻;朱宇轩.基于相关度统计的同步扰码盲识别方法[J].数据采集与处理,2016,31(3):570-576

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  • 在线发布日期: 2016-06-24