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Comparative Study on Noise Reduction Effect of Fiber Optic Hydrophone Based on LMS and NLMS Algorithm
- Source :
- Sensors, Vol 20, Iss 1, p 301 (2020), Sensors, Volume 20, Issue 1, Sensors (Basel, Switzerland)
- Publication Year :
- 2020
- Publisher :
- MDPI AG, 2020.
-
Abstract
- 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.
- Subjects :
- fiber optic hydrophone
Computer science
Noise reduction
02 engineering and technology
3 × 3 coupler
lcsh:Chemical technology
01 natural sciences
Biochemistry
Article
Analytical Chemistry
Least mean squares filter
020210 optoelectronics & photonics
Robustness (computer science)
adaptive filtering
0202 electrical engineering, electronic engineering, information engineering
lcsh:TP1-1185
Electrical and Electronic Engineering
Instrumentation
Signal processing
Total harmonic distortion
Hydrophone
010401 analytical chemistry
normalized least mean square (nlms)
Filter (signal processing)
least mean square (lms)
Atomic and Molecular Physics, and Optics
0104 chemical sciences
Adaptive filter
Interferometry
Computer Science::Sound
Algorithm
Subjects
Details
- Language :
- English
- ISSN :
- 14248220
- Volume :
- 20
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Sensors
- Accession number :
- edsair.doi.dedup.....c26d61f12df055eb92286a476be3800b