A Variable Step-Size Leaky LMS Algorithm

The leaky LMS algorithm has been extensively studied because of its control of parameter drift. This unexpected parameter drift is linked to the inadequacy of excitation in the input sequence. And generally leaky LMS algorithms use fixed step size to force the performance of compromise between the f...

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Autores principales: Sihai Zhao, Jiangye Xu, Yuyan Zhang
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Lenguaje:EN
Publicado: Hindawi-Wiley 2021
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Acceso en línea:https://doaj.org/article/34f23caa25f34875829c8da3ba2f5530
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spelling oai:doaj.org-article:34f23caa25f34875829c8da3ba2f55302021-11-22T01:09:55ZA Variable Step-Size Leaky LMS Algorithm1530-867710.1155/2021/7951643https://doaj.org/article/34f23caa25f34875829c8da3ba2f55302021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/7951643https://doaj.org/toc/1530-8677The leaky LMS algorithm has been extensively studied because of its control of parameter drift. This unexpected parameter drift is linked to the inadequacy of excitation in the input sequence. And generally leaky LMS algorithms use fixed step size to force the performance of compromise between the fast convergence rate and small steady-state misalignment. In this paper, variable step-size (VSS) leaky LMS algorithm is proposed. And the variable step-size method combines the time average estimation of the error and the time average estimation of the normalized quantity. Variable step-size method proposed incorporating with leaky LMS algorithm can effectively eliminate noise interference and make the early convergence, and final small misalignments are obtained together. Simulation results demonstrate that the proposed algorithm has better performance than the existing variable step-size algorithms in the unexcited environment. Furthermore, the proposed algorithm is comparable in performance to other variable step-size algorithms under the adequacy of excitation.Sihai ZhaoJiangye XuYuyan ZhangHindawi-WileyarticleTechnologyTTelecommunicationTK5101-6720ENWireless Communications and Mobile Computing, Vol 2021 (2021)
institution DOAJ
collection DOAJ
language EN
topic Technology
T
Telecommunication
TK5101-6720
spellingShingle Technology
T
Telecommunication
TK5101-6720
Sihai Zhao
Jiangye Xu
Yuyan Zhang
A Variable Step-Size Leaky LMS Algorithm
description The leaky LMS algorithm has been extensively studied because of its control of parameter drift. This unexpected parameter drift is linked to the inadequacy of excitation in the input sequence. And generally leaky LMS algorithms use fixed step size to force the performance of compromise between the fast convergence rate and small steady-state misalignment. In this paper, variable step-size (VSS) leaky LMS algorithm is proposed. And the variable step-size method combines the time average estimation of the error and the time average estimation of the normalized quantity. Variable step-size method proposed incorporating with leaky LMS algorithm can effectively eliminate noise interference and make the early convergence, and final small misalignments are obtained together. Simulation results demonstrate that the proposed algorithm has better performance than the existing variable step-size algorithms in the unexcited environment. Furthermore, the proposed algorithm is comparable in performance to other variable step-size algorithms under the adequacy of excitation.
format article
author Sihai Zhao
Jiangye Xu
Yuyan Zhang
author_facet Sihai Zhao
Jiangye Xu
Yuyan Zhang
author_sort Sihai Zhao
title A Variable Step-Size Leaky LMS Algorithm
title_short A Variable Step-Size Leaky LMS Algorithm
title_full A Variable Step-Size Leaky LMS Algorithm
title_fullStr A Variable Step-Size Leaky LMS Algorithm
title_full_unstemmed A Variable Step-Size Leaky LMS Algorithm
title_sort variable step-size leaky lms algorithm
publisher Hindawi-Wiley
publishDate 2021
url https://doaj.org/article/34f23caa25f34875829c8da3ba2f5530
work_keys_str_mv AT sihaizhao avariablestepsizeleakylmsalgorithm
AT jiangyexu avariablestepsizeleakylmsalgorithm
AT yuyanzhang avariablestepsizeleakylmsalgorithm
AT sihaizhao variablestepsizeleakylmsalgorithm
AT jiangyexu variablestepsizeleakylmsalgorithm
AT yuyanzhang variablestepsizeleakylmsalgorithm
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