基于非零均值比的RS码盲识别方法
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1.国防科技大学电子对抗学院,合肥,230037;2.安徽省电子制约技术重点实验室,合肥,230037

作者简介:

梁宗伟(1994-),男,硕士研究生,研究方向:卫星信号处理、通信对抗。

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Blind Identification of RS Code Parameters Based on Non-Zero-Mean-Ratio
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1.School of Electronic Countermeasure, National University of Defense Technology, Hefei, 230037, China;2.Key Laboratory of Electronic Restricting Technique of Anhui Province, Hefei, 230037, China

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    摘要:

    针对现有的RS码盲识别方法抗误码性能不佳的问题,提出了一种基于非零均值比的盲识别算法。该算法通过将截获到的RS码序列转化为GF(2 m )码元来构建分析矩阵,利用有限域的高斯约当算法获得分析矩阵的非零均值比,并以此来识别码长、符号数和本原多项式,最后通过伽罗华域傅里叶变换来完成信息位长及生成多项式的识别。仿真结果表明,本文提出的算法可以有效识别出本原RS码及缩短RS码的所有编码参数,抗误码性能较好,并给出了识别性能与信息位长与码长的关系:随着码长和信息位长的增加,识别性能逐渐下降。

    Abstract:

    Aiming at poor anti-error performance in the existing algorithms for RS codes, a blind recognition algorithm based on non-zero-mean-ratio is proposed. The algorithm constructs the analysis matrix by transforming the intercepted RS code sequence into GF(2 m ) symbols. The finite-field Gauss-Jordan elimination algorithm is used to obtain the non-zero-mean-ratio of the analysis matrix and identify the code length, symbol number and the primitive polynomial. Finally, the Galois field Fourier transform is used to complete the information bit length and generator polynomial recognition. Simulation results show that the proposed algorithm can effectively identify all the coding parameters of the primitive RS code and shorten RS code. The anti-error performance is better, and the relationship among the recognition performance and the information bit length and the code length is given. As the code length and information bit length increase, the recognition performance gradually decreases.

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龙浪,杨俊安,刘辉,梁宗伟.基于非零均值比的RS码盲识别方法[J].数据采集与处理,2019,34(6):1012-1018

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  • 收稿日期:2018-06-14
  • 最后修改日期:2018-09-01
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  • 在线发布日期: 2019-12-13