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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Hindawi-Wiley
2021
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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) |
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Technology T Telecommunication TK5101-6720 |
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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 |
_version_ |
1718418391466770432 |