Blind Recognition Method for Synchronous Scrambler Based on Statistical Correlation
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    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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Lü Quantong, Zhang Min, Zhu Yuxuan. Blind Recognition Method for Synchronous Scrambler Based on Statistical Correlation[J].,2016,31(3):570-576.

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  • Received:
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  • Online: June 24,2016
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