A Blind Detection Method of Convolutional Codes by Using Soft-Decision Values of Received Signals 


Vol. 44,  No. 11, pp. 2066-2069, Nov.  2019
10.7840/kics.2019.44.11.2066


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  Abstract

In this paper, we propose a blind detection method which estimates the number of encoder output bits  of convolutional code. Compared to the conventional method which uses the soft-decision values of received signal for rearranging rows of the matrix, we use the soft-decision values to rearrange both the rows and columns, and to do the Gauss-Jordan elimination through pivoting. Also, we evaluate the proposed algorithm by performing simulation in additive white gaussian noise (AWGN) channel to confirm the improved performance of the proposed algorithm compared with the conventional method.

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  Cite this article

[IEEE Style]

J. Lee, S. Kwon, D. Shin, "A Blind Detection Method of Convolutional Codes by Using Soft-Decision Values of Received Signals," The Journal of Korean Institute of Communications and Information Sciences, vol. 44, no. 11, pp. 2066-2069, 2019. DOI: 10.7840/kics.2019.44.11.2066.

[ACM Style]

Jihyeon Lee, Soonhee Kwon, and Dong-Joon Shin. 2019. A Blind Detection Method of Convolutional Codes by Using Soft-Decision Values of Received Signals. The Journal of Korean Institute of Communications and Information Sciences, 44, 11, (2019), 2066-2069. DOI: 10.7840/kics.2019.44.11.2066.

[KICS Style]

Jihyeon Lee, Soonhee Kwon, Dong-Joon Shin, "A Blind Detection Method of Convolutional Codes by Using Soft-Decision Values of Received Signals," The Journal of Korean Institute of Communications and Information Sciences, vol. 44, no. 11, pp. 2066-2069, 11. 2019. (https://doi.org/10.7840/kics.2019.44.11.2066)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880