Diffusion Generalized MCC with a Variable Center Algorithm for Robust Distributed Estimation

Classical adaptive filtering algorithms with a diffusion strategy under the mean square error (MSE) criterion can face difficulties in distributed estimation (DE) over networks in a complex noise environment, such as non-zero mean non-Gaussian noise, with the object of ensuring a robust performance....

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Autores principales:	Wentao Ma, Panfei Cai, Fengyuan Sun, Xiao Kou, Xiaofei Wang, Jianning Yin
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	diffusion adaptive filter generalized Correntropy with variable center non-zero mean non-Gaussian distributed parameter estimation Electronics TK7800-8360
Acceso en línea:	https://doaj.org/article/25ee196e2cb7413ba21a47fa48b0cbec
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id	oai:doaj.org-article:25ee196e2cb7413ba21a47fa48b0cbec
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spelling	oai:doaj.org-article:25ee196e2cb7413ba21a47fa48b0cbec2021-11-25T17:24:48ZDiffusion Generalized MCC with a Variable Center Algorithm for Robust Distributed Estimation10.3390/electronics102228072079-9292https://doaj.org/article/25ee196e2cb7413ba21a47fa48b0cbec2021-11-01T00:00:00Zhttps://www.mdpi.com/2079-9292/10/22/2807https://doaj.org/toc/2079-9292Classical adaptive filtering algorithms with a diffusion strategy under the mean square error (MSE) criterion can face difficulties in distributed estimation (DE) over networks in a complex noise environment, such as non-zero mean non-Gaussian noise, with the object of ensuring a robust performance. In order to overcome such limitations, this paper proposes a novel robust diffusion adaptive filtering algorithm, which is developed by using a variable center generalized maximum Correntropy criterion (GMCC-VC). Generalized Correntropy with a variable center is first defined by introducing a non-zero center to the original generalized Correntropy, which can be used as robust cost function, called GMCC-VC, for adaptive filtering algorithms. In order to improve the robustness of the traditional MSE-based DE algorithms, the GMCC-VC is used in a diffusion adaptive filter to design a novel robust DE method with the adapt-then-combine strategy. This can achieve outstanding steady-state performance under non-Gaussian noise environments because the GMCC-VC can match the distribution of the noise with that of non-zero mean non-Gaussian noise. The simulation results for distributed estimation under non-zero mean non-Gaussian noise cases demonstrate that the proposed diffusion GMCC-VC approach produces a more robustness and stable performance than some other comparable DE methods.Wentao MaPanfei CaiFengyuan SunXiao KouXiaofei WangJianning YinMDPI AGarticlediffusion adaptive filtergeneralized Correntropy with variable centernon-zero mean non-Gaussiandistributed parameter estimationElectronicsTK7800-8360ENElectronics, Vol 10, Iss 2807, p 2807 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	diffusion adaptive filter generalized Correntropy with variable center non-zero mean non-Gaussian distributed parameter estimation Electronics TK7800-8360
spellingShingle	diffusion adaptive filter generalized Correntropy with variable center non-zero mean non-Gaussian distributed parameter estimation Electronics TK7800-8360 Wentao Ma Panfei Cai Fengyuan Sun Xiao Kou Xiaofei Wang Jianning Yin Diffusion Generalized MCC with a Variable Center Algorithm for Robust Distributed Estimation
description	Classical adaptive filtering algorithms with a diffusion strategy under the mean square error (MSE) criterion can face difficulties in distributed estimation (DE) over networks in a complex noise environment, such as non-zero mean non-Gaussian noise, with the object of ensuring a robust performance. In order to overcome such limitations, this paper proposes a novel robust diffusion adaptive filtering algorithm, which is developed by using a variable center generalized maximum Correntropy criterion (GMCC-VC). Generalized Correntropy with a variable center is first defined by introducing a non-zero center to the original generalized Correntropy, which can be used as robust cost function, called GMCC-VC, for adaptive filtering algorithms. In order to improve the robustness of the traditional MSE-based DE algorithms, the GMCC-VC is used in a diffusion adaptive filter to design a novel robust DE method with the adapt-then-combine strategy. This can achieve outstanding steady-state performance under non-Gaussian noise environments because the GMCC-VC can match the distribution of the noise with that of non-zero mean non-Gaussian noise. The simulation results for distributed estimation under non-zero mean non-Gaussian noise cases demonstrate that the proposed diffusion GMCC-VC approach produces a more robustness and stable performance than some other comparable DE methods.
format	article
author	Wentao Ma Panfei Cai Fengyuan Sun Xiao Kou Xiaofei Wang Jianning Yin
author_facet	Wentao Ma Panfei Cai Fengyuan Sun Xiao Kou Xiaofei Wang Jianning Yin
author_sort	Wentao Ma
title	Diffusion Generalized MCC with a Variable Center Algorithm for Robust Distributed Estimation
title_short	Diffusion Generalized MCC with a Variable Center Algorithm for Robust Distributed Estimation
title_full	Diffusion Generalized MCC with a Variable Center Algorithm for Robust Distributed Estimation
title_fullStr	Diffusion Generalized MCC with a Variable Center Algorithm for Robust Distributed Estimation
title_full_unstemmed	Diffusion Generalized MCC with a Variable Center Algorithm for Robust Distributed Estimation
title_sort	diffusion generalized mcc with a variable center algorithm for robust distributed estimation
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/25ee196e2cb7413ba21a47fa48b0cbec
work_keys_str_mv	AT wentaoma diffusiongeneralizedmccwithavariablecenteralgorithmforrobustdistributedestimation AT panfeicai diffusiongeneralizedmccwithavariablecenteralgorithmforrobustdistributedestimation AT fengyuansun diffusiongeneralizedmccwithavariablecenteralgorithmforrobustdistributedestimation AT xiaokou diffusiongeneralizedmccwithavariablecenteralgorithmforrobustdistributedestimation AT xiaofeiwang diffusiongeneralizedmccwithavariablecenteralgorithmforrobustdistributedestimation AT jianningyin diffusiongeneralizedmccwithavariablecenteralgorithmforrobustdistributedestimation
_version_	1718412396567986176

Diffusion Generalized MCC with a Variable Center Algorithm for Robust Distributed Estimation

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