基于伽罗瓦场傅立叶变换的BCH码盲识别

Xiaokai Zhang, Gang Wu, Bangning Zhang, D. Guo, K. Guo
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引用次数: 12

摘要

本文提出了一种从噪声影响码字截获序列中盲识别BCH码的新方法。该方法通过寻找BCH码的生成多项式的根来恢复BCH码的参数。首先,对每个估计长度的序列进行伽罗瓦场傅里叶变换(GFFT)运算。然后,找出所有序列GFFT的公共零谱分量的位置。如果存在这样的位置,则相应的估计长度为代码长度,并找到底层生成器多项式的根。在此基础上,对该方法进行了详细的理论分析,并推导出一个最优阈值,使虚警和漏检概率之和最小,用于区分发生器多项式的根和非根。仿真结果表明,该方法的性能优于以往的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Blind recognition of BCH code based on Galois field fourier transform
In this paper, a new method for blind recognition of BCH code from an intercepted sequence of noise affected codewords is proposed. The proposed method recovers the parameters of a BCH code by finding the roots of it's generator polynomial. Firstly, the Galois Field Fourier Transform (GFFT) operation is carried out for each sequence of an estimated length. Then, find the positions of common zero spectral components of all sequences' GFFT. If such positions exist, the corresponding estimated length is the code length and the roots of the underlying generator polynomial are found. Furthermore, the theoretical analysis of the proposed method is given in detail and an optimal threshold is derived to minimize the summation of the false alarm and miss detection probability for distinguishing the root and non-root of the generator polynomial. Simulation results show that the proposed method outperforms the previous ones.
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