An Improved Reconstruction Algorithm of Convolutional Codes Based on Channel Error Rate Estimation 


Vol. 42,  No. 5, pp. 951-958, May  2017


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  Abstract

In an attack context, the adversary wants to retrieve the message from the intercepted noisy bit stream without any prior knowledge of the channel codes used. The process of finding out the code parameters such as code length, dimension, and generator, for this purpose, is called the blind recognition of channel codes or the reconstruction of channel codes. In this paper, we suggest an improved algorithm of the blind recovery of rate k/n convolutional encoders in a noisy environment. The suggested algorithm improves the existing algorithm by Marazin, et. al. by evaluating the threshold value through the estimation of the channel error probability of the BSC. By applying the soft decision method by Shaojing, et. al., we considerably enhance the success rate of the channel reconstruction.

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  Cite this article

[IEEE Style]

J. Seong and H. Chung, "An Improved Reconstruction Algorithm of Convolutional Codes Based on Channel Error Rate Estimation," The Journal of Korean Institute of Communications and Information Sciences, vol. 42, no. 5, pp. 951-958, 2017. DOI: .

[ACM Style]

Jinwoo Seong and Habong Chung. 2017. An Improved Reconstruction Algorithm of Convolutional Codes Based on Channel Error Rate Estimation. The Journal of Korean Institute of Communications and Information Sciences, 42, 5, (2017), 951-958. DOI: .

[KICS Style]

Jinwoo Seong and Habong Chung, "An Improved Reconstruction Algorithm of Convolutional Codes Based on Channel Error Rate Estimation," The Journal of Korean Institute of Communications and Information Sciences, vol. 42, no. 5, pp. 951-958, 5. 2017.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880