一种基于奇偶校验方程一致性的改进交织器识别算法

Meizhen Liu, Zengmao Chen, Zhiguo Sun, Hongjing Yi
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引用次数: 0

摘要

针对现有Turbo码交织器识别算法在低信噪比下识别率较低的问题,本文提出了一种新的识别算法,将信息的验证更新融入到验证方程的平均符合性中。与传统的识别算法相比,本文利用已知的交错位置信息对校验序列和输入信息序列进行重新估计,从而在减少数据误差后依次识别剩余的交错位置。仿真结果表明,当信噪比较低时,该算法比传统算法具有更高的识别率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Improved Interleaver Identification Algorithm Based on Conformity of Parity-check Equation
In view of the low identification rate under low signal-to-noise ratio in the existing Turbo code interleaver identification algorithms, a novel identification algorithm is proposed in this paper by integrating the verification update of the information into the average conformity of the verification equation. Compared to the conventional identification algorithm, this paper re-estimates the check sequence and the input information sequence utilizing the information of the known interleaving position, so that the remaining interleaving positions can be recognized in turn after the data errors are reduced. The simulation results suggest that the proposed algorithm has a higher recognition rate than the conventional algorithm when the signal-to-noise ratio is low.
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