Arctangent-Cost-Function Based Diffusion NLMS Algorithm with an Efficient Variable Parameter 


Vol. 43,  No. 8, pp. 1321-1327, Aug.  2018
10.7840/kics.2018.43.8.1321


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  Abstract

In this paper, we propose an arctangent-cost-function based diffusion NLMS algorithm with an efficient variable parameter, robust against impulsive noise in the adaptive network. Compared with conventional algorithms where the variable parameter is an exponential function and the occurrence probability of impulsive noise is required, the proposed distributed estimation algorithm, utilizing the characteristics of the arctangent cost function is of less computational complexity and requiring no prior knowledge on impulsive noise, yields improved MSD convergence. Finally, its convergence performance is verified by using computer simulations for system identification.

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  Cite this article

[IEEE Style]

J. Park, J. Kim, S. W. Nam, "Arctangent-Cost-Function Based Diffusion NLMS Algorithm with an Efficient Variable Parameter," The Journal of Korean Institute of Communications and Information Sciences, vol. 43, no. 8, pp. 1321-1327, 2018. DOI: 10.7840/kics.2018.43.8.1321.

[ACM Style]

JongHun Park, Jin Kim, and Sang Won Nam. 2018. Arctangent-Cost-Function Based Diffusion NLMS Algorithm with an Efficient Variable Parameter. The Journal of Korean Institute of Communications and Information Sciences, 43, 8, (2018), 1321-1327. DOI: 10.7840/kics.2018.43.8.1321.

[KICS Style]

JongHun Park, Jin Kim, Sang Won Nam, "Arctangent-Cost-Function Based Diffusion NLMS Algorithm with an Efficient Variable Parameter," The Journal of Korean Institute of Communications and Information Sciences, vol. 43, no. 8, pp. 1321-1327, 8. 2018. (https://doi.org/10.7840/kics.2018.43.8.1321)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880