Comparative Study on Noise Reduction Effect of Fiber Optic Hydrophone Based on LMS and NLMS Algorithm

被引:16
作者
Yu, Zhihua [1 ,2 ]
Cai, Yunfei [1 ,2 ]
Mo, Daili [1 ,2 ]
机构
[1] China Univ Geosci, Sch Automat, Wuhan 430074, Peoples R China
[2] Hubei Key Lab Adv Control & Intelligent Automat C, Wuhan 430074, Peoples R China
基金
中国国家自然科学基金;
关键词
fiber optic hydrophone; 3; x; coupler; least mean square (LMS); normalized least mean square (NLMS); adaptive filtering;
D O I
10.3390/s20010301
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
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.
引用
收藏
页数:11
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