Diffusion adaptive filtering algorithm based on the Fair cost function

Abstract To better perform distributed estimation, this paper, by combining the Fair cost function and adapt-then-combine scheme at all distributed network nodes, a novel diffusion adaptive estimation algorithm is proposed from an M-estimator perspective, which is called the diffusion Fair (DFair) a...

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Autores principales:	Sihai Guan, Qing Cheng, Yong Zhao, Bharat Biswal
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/84dd53a3b17644309aba799350e6cebc
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spelling	oai:doaj.org-article:84dd53a3b17644309aba799350e6cebc2021-12-02T16:56:43ZDiffusion adaptive filtering algorithm based on the Fair cost function10.1038/s41598-021-99330-92045-2322https://doaj.org/article/84dd53a3b17644309aba799350e6cebc2021-10-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-99330-9https://doaj.org/toc/2045-2322Abstract To better perform distributed estimation, this paper, by combining the Fair cost function and adapt-then-combine scheme at all distributed network nodes, a novel diffusion adaptive estimation algorithm is proposed from an M-estimator perspective, which is called the diffusion Fair (DFair) adaptive filtering algorithm. The stability of the mean estimation error and the computational complexity of the DFair are theoretically analyzed. Compared with the robust diffusion LMS (RDLMS), diffusion Normalized Least Mean M-estimate (DNLMM), diffusion generalized correntropy logarithmic difference (DGCLD), and diffusion probabilistic least mean square (DPLMS) algorithms, the simulation experiment results show that the DFair algorithm is more robust to input signals and impulsive interference. In conclusion, Theoretical analysis and simulation results show that the DFair algorithm performs better when estimating an unknown linear system in the changeable impulsive interference environments.Sihai GuanQing ChengYong ZhaoBharat BiswalNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Sihai Guan Qing Cheng Yong Zhao Bharat Biswal Diffusion adaptive filtering algorithm based on the Fair cost function
description	Abstract To better perform distributed estimation, this paper, by combining the Fair cost function and adapt-then-combine scheme at all distributed network nodes, a novel diffusion adaptive estimation algorithm is proposed from an M-estimator perspective, which is called the diffusion Fair (DFair) adaptive filtering algorithm. The stability of the mean estimation error and the computational complexity of the DFair are theoretically analyzed. Compared with the robust diffusion LMS (RDLMS), diffusion Normalized Least Mean M-estimate (DNLMM), diffusion generalized correntropy logarithmic difference (DGCLD), and diffusion probabilistic least mean square (DPLMS) algorithms, the simulation experiment results show that the DFair algorithm is more robust to input signals and impulsive interference. In conclusion, Theoretical analysis and simulation results show that the DFair algorithm performs better when estimating an unknown linear system in the changeable impulsive interference environments.
format	article
author	Sihai Guan Qing Cheng Yong Zhao Bharat Biswal
author_facet	Sihai Guan Qing Cheng Yong Zhao Bharat Biswal
author_sort	Sihai Guan
title	Diffusion adaptive filtering algorithm based on the Fair cost function
title_short	Diffusion adaptive filtering algorithm based on the Fair cost function
title_full	Diffusion adaptive filtering algorithm based on the Fair cost function
title_fullStr	Diffusion adaptive filtering algorithm based on the Fair cost function
title_full_unstemmed	Diffusion adaptive filtering algorithm based on the Fair cost function
title_sort	diffusion adaptive filtering algorithm based on the fair cost function
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/84dd53a3b17644309aba799350e6cebc
work_keys_str_mv	AT sihaiguan diffusionadaptivefilteringalgorithmbasedonthefaircostfunction AT qingcheng diffusionadaptivefilteringalgorithmbasedonthefaircostfunction AT yongzhao diffusionadaptivefilteringalgorithmbasedonthefaircostfunction AT bharatbiswal diffusionadaptivefilteringalgorithmbasedonthefaircostfunction
_version_	1718382750410473472

Diffusion adaptive filtering algorithm based on the Fair cost function

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