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arXiv 1205.4641cs.ITmath.IT
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噪声码字中的奇偶检验矩阵识别

Parity Check Matrix Recognition from Noisy Codewords

Yasser Karimian, Saeideh Ziapour, Mahmoud Ahmadian Attari

摘要:

本文研究了从二进制对称信道中截获的比特流中恢复未知码的奇偶检验关系。介绍了一种迭代列消除算法,该算法试图消除噪声数据码字中的奇偶校验位。该算法复杂度低,并使用了异或运算,具有很强的实用性。由于计算复杂性低,所以可以搜索码的长度和同步。此外,奇偶检验字的汉明重量只用于阈值计算,与其他算法不同,它们在该算法中的影响可以忽略不计。最后,实验结果和估计允许恢复的字的奇偶检验矩阵的最大噪声水平进行了研究。

英文摘要:

We study recovering parity check relations for an unknown code from intercepted bitstream received from Binary Symmetric Channel in this paper. An iterative column elimination algorithm is introduced which attempts to eliminate parity bits in codewords of noisy data. This algorithm is very practical due to low complexity and use of XOR operator. Since, the computational complexity is low, searching for the length of code and synchronization is possible. Furthermore, the Hamming weight of the parity check words are only used in threshold computation and unlike other algorithms, they have negligible effect in the proposed algorithm. Eventually, experimental results are presented and estimations for the maximum noise level allowed for recovering the words of the parity check matrix are investigated.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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