Comparative Study on Noise Reduction Effect of Fiber Optic Hydrophone Based on LMS and NLMS Algorithm
Adaptive filtering has the advantages of real-time processing, small computational complexity, and good adaptability and robustness. It has been widely used in communication, navigation, signal processing, optical fiber sensing, and other fields. In this paper, by adding an interferometer with the s...
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MDPI AG
2020-01-01
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Online Access: | https://www.mdpi.com/1424-8220/20/1/301 |
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author | Zhihua Yu Yunfei Cai Daili Mo |
author_facet | Zhihua Yu Yunfei Cai Daili Mo |
author_sort | Zhihua Yu |
collection | DOAJ |
description | Adaptive filtering has the advantages of real-time processing, small computational complexity, and good adaptability and robustness. It has been widely used in communication, navigation, signal processing, optical fiber sensing, and other fields. In this paper, by adding an interferometer with the same parameters as the signal interferometer as the reference channel, the sensing signal of the interferometric fiber-optic hydrophone is denoised by two adaptive filtering schemes based on the least mean square (LMS) algorithm and the normalized least mean square (NLMS) algorithm respectively. The results show that the LMS algorithm is superior to the NLMS algorithm in reducing total harmonic distortion, improving the signal-to-noise ratio and filtering effect. |
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institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-04-14T01:40:33Z |
publishDate | 2020-01-01 |
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spelling | doaj.art-ad3b3bd50ed9477bbc853a2a7bde9b5b2022-12-22T02:19:47ZengMDPI AGSensors1424-82202020-01-0120130110.3390/s20010301s20010301Comparative Study on Noise Reduction Effect of Fiber Optic Hydrophone Based on LMS and NLMS AlgorithmZhihua Yu0Yunfei Cai1Daili Mo2School of Automation, China University of Geosciences, Wuhan 430074, ChinaSchool of Automation, China University of Geosciences, Wuhan 430074, ChinaSchool of Automation, China University of Geosciences, Wuhan 430074, ChinaAdaptive filtering has the advantages of real-time processing, small computational complexity, and good adaptability and robustness. It has been widely used in communication, navigation, signal processing, optical fiber sensing, and other fields. In this paper, by adding an interferometer with the same parameters as the signal interferometer as the reference channel, the sensing signal of the interferometric fiber-optic hydrophone is denoised by two adaptive filtering schemes based on the least mean square (LMS) algorithm and the normalized least mean square (NLMS) algorithm respectively. The results show that the LMS algorithm is superior to the NLMS algorithm in reducing total harmonic distortion, improving the signal-to-noise ratio and filtering effect.https://www.mdpi.com/1424-8220/20/1/301fiber optic hydrophone3 × 3 couplerleast mean square (lms)normalized least mean square (nlms)adaptive filtering |
spellingShingle | Zhihua Yu Yunfei Cai Daili Mo Comparative Study on Noise Reduction Effect of Fiber Optic Hydrophone Based on LMS and NLMS Algorithm Sensors fiber optic hydrophone 3 × 3 coupler least mean square (lms) normalized least mean square (nlms) adaptive filtering |
title | Comparative Study on Noise Reduction Effect of Fiber Optic Hydrophone Based on LMS and NLMS Algorithm |
title_full | Comparative Study on Noise Reduction Effect of Fiber Optic Hydrophone Based on LMS and NLMS Algorithm |
title_fullStr | Comparative Study on Noise Reduction Effect of Fiber Optic Hydrophone Based on LMS and NLMS Algorithm |
title_full_unstemmed | Comparative Study on Noise Reduction Effect of Fiber Optic Hydrophone Based on LMS and NLMS Algorithm |
title_short | Comparative Study on Noise Reduction Effect of Fiber Optic Hydrophone Based on LMS and NLMS Algorithm |
title_sort | comparative study on noise reduction effect of fiber optic hydrophone based on lms and nlms algorithm |
topic | fiber optic hydrophone 3 × 3 coupler least mean square (lms) normalized least mean square (nlms) adaptive filtering |
url | https://www.mdpi.com/1424-8220/20/1/301 |
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