Linear Feedback Shift Register Estimation Using Statistical Method in a Noisy Environment 


Vol. 45,  No. 3, pp. 616-621, Mar.  2020
10.7840/kics.2020.45.3.616


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  Abstract

In non-cooperative scenario, channel code, interleaver, spreading code and linear feedback shift register(LFSR) should be estimated. In particular, the Berlekamp-Massey algorithm is generally used to estimate the pseudo-random number generated by the LFSR in error-free situation. However in a noisy environment, because of the errors, it is difficult to estimate the correct LFSR. In this paper, we propose the statistical method to estimate the LFSR in a noisy environment by comparing the number of errors due to the difference of the given sequence and generated sequence with the number of errors occurred by the noisy environment, and analyze the performance of estimation method.

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  Cite this article

[IEEE Style]

D. Kim, Y. Kim, C. Park, J. Song, D. Yoon, "Linear Feedback Shift Register Estimation Using Statistical Method in a Noisy Environment," The Journal of Korean Institute of Communications and Information Sciences, vol. 45, no. 3, pp. 616-621, 2020. DOI: 10.7840/kics.2020.45.3.616.

[ACM Style]

Dongyeong Kim, Yoonji Kim, Cheol-sun Park, Junghwan Song, and Dongweon Yoon. 2020. Linear Feedback Shift Register Estimation Using Statistical Method in a Noisy Environment. The Journal of Korean Institute of Communications and Information Sciences, 45, 3, (2020), 616-621. DOI: 10.7840/kics.2020.45.3.616.

[KICS Style]

Dongyeong Kim, Yoonji Kim, Cheol-sun Park, Junghwan Song, Dongweon Yoon, "Linear Feedback Shift Register Estimation Using Statistical Method in a Noisy Environment," The Journal of Korean Institute of Communications and Information Sciences, vol. 45, no. 3, pp. 616-621, 3. 2020. (https://doi.org/10.7840/kics.2020.45.3.616)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880