An Incremental Variable Step-Size LMS Algorithm for Adaptive Networks

A lot of research has been done in the diffusion paradigm for the wireless sensor networks. However, not enough attention has been given to the incremental strategy. Despite having better performance than the diffusion scheme, incremental based algorithms have been generally ignored. This brief pres...

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Vydané v:	IEEE transactions on circuits and systems. II, Express briefs Ročník 67; číslo 10; s. 2264 - 2268
Hlavní autori:	Bin Saeed, Muhammad Omer, Zerguine, Azzedine
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.10.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Adaptive algorithms Adaptive systems Circuits and systems Eigenvalues and eigenfunctions Incremental algorithm least mean square algorithm mean-square analysis Signal processing algorithms Steady-state steady-state analysis Transient analysis variable step-size Wireless networks Wireless sensor networks
ISSN:	1549-7747, 1558-3791
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Abstract	A lot of research has been done in the diffusion paradigm for the wireless sensor networks. However, not enough attention has been given to the incremental strategy. Despite having better performance than the diffusion scheme, incremental based algorithms have been generally ignored. This brief presents an incremental variable step-size strategy for distributed estimation. A detailed analysis of the performance of the algorithm is shown. The mean analysis and mean square analysis are given along with steady-state results. The mean square analysis, as presented here, is being performed for the first time and provides closed form results, unlike previous works present in the literature.
AbstractList	A lot of research has been done in the diffusion paradigm for the wireless sensor networks. However, not enough attention has been given to the incremental strategy. Despite having better performance than the diffusion scheme, incremental based algorithms have been generally ignored. This brief presents an incremental variable step-size strategy for distributed estimation. A detailed analysis of the performance of the algorithm is shown. The mean analysis and mean square analysis are given along with steady-state results. The mean square analysis, as presented here, is being performed for the first time and provides closed form results, unlike previous works present in the literature.
Author	Bin Saeed, Muhammad Omer Zerguine, Azzedine
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Cites_doi	10.1109/ACSSC.2011.6190009 10.1007/s00034-015-0005-9 10.1016/j.sigpro.2018.02.012 10.1007/s11277-019-06609-2 10.1109/ACCESS.2018.2866857 10.1186/1687-6180-2013-135 10.1109/TSP.2008.917383 10.1049/iet-spr.2015.0033 10.1016/j.sigpro.2017.09.016 10.1109/TSP.2015.2401533 10.1109/CAMAD.2016.7790321 10.1109/SSP.2014.6884676 10.1109/78.143435 10.1109/TSP.2007.896034 10.1002/acs.2358 10.1109/JPROC.2014.2306253
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SubjectTerms	Adaptive algorithms Adaptive systems Circuits and systems Eigenvalues and eigenfunctions Incremental algorithm least mean square algorithm mean-square analysis Signal processing algorithms Steady-state steady-state analysis Transient analysis variable step-size Wireless networks Wireless sensor networks
Title	An Incremental Variable Step-Size LMS Algorithm for Adaptive Networks
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