A Novel NLMS Algorithm for System Identification
In this paper, we propose a novel normalized least mean squares (NLMS) algorithm for system identification applications. Our approach involves analyzing the mean squared deviation performance of the NLMS algorithm using a random walk model to select two optimal parameters, the step size and regulari...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-07-01
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| Series: | Electronics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-9292/12/14/3159 |
| _version_ | 1797589486608056320 |
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| author | Jinwoo Yoo Bum Yong Park Won Il Lee JaeWook Shin |
| author_facet | Jinwoo Yoo Bum Yong Park Won Il Lee JaeWook Shin |
| author_sort | Jinwoo Yoo |
| collection | DOAJ |
| description | In this paper, we propose a novel normalized least mean squares (NLMS) algorithm for system identification applications. Our approach involves analyzing the mean squared deviation performance of the NLMS algorithm using a random walk model to select two optimal parameters, the step size and regularization parameters, for the rapid convergence of the colored input signals. We verified that the proposed algorithm exhibited faster convergence than existing algorithms, even in scenarios of sudden system changes. |
| first_indexed | 2024-03-11T01:07:19Z |
| format | Article |
| id | doaj.art-051f7d7123644d228e00428ae5db728b |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-11T01:07:19Z |
| publishDate | 2023-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-051f7d7123644d228e00428ae5db728b2023-11-18T19:06:43ZengMDPI AGElectronics2079-92922023-07-011214315910.3390/electronics12143159A Novel NLMS Algorithm for System IdentificationJinwoo Yoo0Bum Yong Park1Won Il Lee2JaeWook Shin3Department of Automobile and IT Convergence, Kookmin University, Seoul 02707, Republic of KoreaDepartment of IT Convergence Engineering, Kumoh National Institute of Technology, 61 Daehak-ro (Yangho-dong), Gumi 39177, Republic of KoreaDepartment of Electronic Engineering, Kumoh National Institute of Technology, 61 Daehak-ro (Yangho-dong), Gumi 39177, Republic of KoreaDepartment of Electronic Engineering, Kumoh National Institute of Technology, 61 Daehak-ro (Yangho-dong), Gumi 39177, Republic of KoreaIn this paper, we propose a novel normalized least mean squares (NLMS) algorithm for system identification applications. Our approach involves analyzing the mean squared deviation performance of the NLMS algorithm using a random walk model to select two optimal parameters, the step size and regularization parameters, for the rapid convergence of the colored input signals. We verified that the proposed algorithm exhibited faster convergence than existing algorithms, even in scenarios of sudden system changes.https://www.mdpi.com/2079-9292/12/14/3159adaptive filternormalized least mean squaressystem identificationparameter estimation |
| spellingShingle | Jinwoo Yoo Bum Yong Park Won Il Lee JaeWook Shin A Novel NLMS Algorithm for System Identification Electronics adaptive filter normalized least mean squares system identification parameter estimation |
| title | A Novel NLMS Algorithm for System Identification |
| title_full | A Novel NLMS Algorithm for System Identification |
| title_fullStr | A Novel NLMS Algorithm for System Identification |
| title_full_unstemmed | A Novel NLMS Algorithm for System Identification |
| title_short | A Novel NLMS Algorithm for System Identification |
| title_sort | novel nlms algorithm for system identification |
| topic | adaptive filter normalized least mean squares system identification parameter estimation |
| url | https://www.mdpi.com/2079-9292/12/14/3159 |
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