JOURNAL ARTICLE

Distributed Optical Fiber Raman Signal Noise Cancellation Based on Empirical Mode Decomposition

You Ping ZhongQi ZhangDi Zhou

Year: 2012 Journal:   Applied Mechanics and Materials Vol: 198-199 Pages: 1621-1626   Publisher: Trans Tech Publications

Abstract

The distributed optical fiber Raman sensor system was widely used for real-time measurement temperature, but the Anti-Stokes and Stokes scattering Raman signal is very weak. In order to improve measurement accuracy the signal must be denoised before obtaining the temperature. In this paper, a new noise cancellation of empirical mode decomposition is proposed for enhancing signal-to-noise ration of the Anti-Stokes and Stokes scattering Raman signal. The signal-to-noise ratio was enhanced by using this method and it is easy to be realized in computer.

Keywords:
SIGNAL (programming language) Raman scattering Noise (video) Hilbert–Huang transform Raman spectroscopy Signal-to-noise ratio (imaging) Optics Materials science Acoustics Fiber Noise floor Computer science Noise measurement Physics Noise reduction Telecommunications Artificial intelligence White noise

Metrics

3
Cited By
0.22
FWCI (Field Weighted Citation Impact)
6
Refs
0.57
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Fiber Optic Sensors
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Advanced Algorithms and Applications
Physical Sciences →  Engineering →  Control and Systems Engineering
Fault Detection and Control Systems
Physical Sciences →  Engineering →  Control and Systems Engineering

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