Iterative Recovery for Interfered Scrambling Code Sequence on Factor Graph

Hongbo Hu, Zhengbo Sun, Yuxiang Yang, Bing Deng
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Abstract

To solve the problem of insufficient number of check equation in the reconstruction of high order interfered scrambling code sequence, a reconstruction algorithm is proposed. Firstly, the check relationships based on the scrambling code generator polynomial are used to construct the factor graph, and the factor graph iteration method is used to estimate the scrambling code sequences. Secondly, the check relationship inspection method is used to evaluate the compatibility between the iterative estimation sequences and the generator polynomial, and select the best continuous codeword to restore the scrambler initial state. Finally, the optimal reconstruction sequence is selected from the scrambling code for initial state recovery according to the principle of minimum Hamming distance. Simulation results show that the algorithm can effectively solve the problem of reconstruction by using a limited number of check equations.
干扰置乱码序列在因子图上的迭代恢复
针对高阶干扰置乱码序列重构中校验方程个数不足的问题,提出了一种重构算法。首先,利用置乱码生成多项式的校验关系构造因子图,并利用因子图迭代法估计置乱码序列;其次,采用校验关系检验方法评估迭代估计序列与生成多项式的兼容性,选择最佳连续码字恢复扰码器初始状态;最后,根据最小汉明距离原则,从加扰码中选择最优重构序列进行初始状态恢复。仿真结果表明,该算法可以有效地解决利用有限数量的校验方程进行重构的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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