| 引用本文： |
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王中方,黄伟庆,翟留群,胡可可,魏冬.基于移位等效码字熵率计算的加扰卷积码盲识别[J].信息安全学报,已采用 [点击复制]
- Wang Zhong Fang,Huang Wei Qing,Zhai Liu Qun,Hu Ke Ke,Wei Dong.Blind Recognition of Scrambled Convolutional Code Based on Calculating Shift Equivalent Codeword Entropy Rate[J].Journal of Cyber Security,Accept [点击复制]
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| 摘要: |
| 加扰编码码字盲识别在非合作通信研究中具有重要意义。然而，当前加扰编码码字盲识别研究主要针对单一的信道编码盲识别或扰码盲识别，其算法在实际系统中面临不适用于加扰与编码级联场景、误码场景下识别效率低等问题。因此，本文针对加扰卷积码级联场景，提出一种基于移位等效码字熵率的扰码与卷积码联合盲识别的算法。首先，利用卷积码字加扰后的性质，构建移位等效码字，将扰码盲识别问题转换为等效卷积码判决问题；其次，鉴于利用传统算法判决移位等效码字过于复杂，消耗的运算资源过高，提出了一种基于信息熵率的卷积码快速判断方法，并推导出了算法实现需要的相关参数，实现了低复杂、高效率的快速联合盲识别。仿真实验表明，本文方法可以有效地对加扰卷积码进行联合识别，在信道传输误比特率小于6%时，扰码识别正确率高于84.5%，扰码和卷积码联合识别率高于80%，体现了较好的抗噪性。 |
| 关键词: 扰码， 卷积码， 联合盲识别， 熵率 |
| DOI：10.19363/J.cnki.cn10-1380/tn.2023.08.08 |
| 投稿时间：2021-01-06修订日期：2021-02-03 |
| 基金项目: |
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| Blind Recognition of Scrambled Convolutional Code Based on Calculating Shift Equivalent Codeword Entropy Rate |
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Wang Zhong Fang1, Huang Wei Qing1, Zhai Liu Qun1, Hu Ke Ke2, Wei Dong1
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| (1.IIE;2.Tsinghua University) |
| Abstract: |
| Blind recognition of scrambled codewords is of great significance in non-cooperative communication research. However, the current research on blind recognition of scrambled codewords is mainly aimed at single channel coding blind recognition or scramble code blind recognition, and its algorithm is not suitable for scramble code and channel coding cascade scenarios in actual systems, and the recognition efficiency is low in error scenarios. Therefore, this paper proposes a joint blind recognition algorithm of scramble code and convolutional code based on the shift equivalent codeword entropy rate for the cascading scene of scrambled convolutional codes. Firstly, use the scrambled properties of convolutional codewords to construct shift equivalent codewords, and convert the scramble code blind recognition problem into an equivalent convolu-tional code decision problem; secondly, in view of the fact that using traditional algorithms to determine shift equivalent codewords is too complicated and consumes too much computing resources, this paper proposes a fast judgment method for convolutional codes based on information entropy rate, and derives the relevant parameters required for algorithm realization, which realizes low-complexity and high-efficiency fast joint blind recognition. Numerical simulation experiments show that the proposed method can effectively identify scrambled convolutional codewords with scramble code and convolutional code. With bit error rate less than 6%, the scramble code recognition accuracy rate is higher than 84.5% and the combined recognition rate is higher than 80%, which shows a good anti-noise performance. |
| Key words: scrambler, convolutional code, joint blind recognition, entropy rate |
