Measurement Accuracy Enhancement via Radio Frequency Filtering in Distributed Brillouin Sensing

In this article, we demonstrate the noise reduction and signal to noise ratio (SNR) enhancement in Brillouin optical time-domain analyzers (BOTDA). The results show that, although the main noise contribution comes from the Brillouin interaction itself, a simple low pass filtering on the detected rad...

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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Switzerland), 2019-06, Vol.19 (13), p.2878
Main Authors: Feng, Cheng, Preussler, Stefan, Emad Kadum, Jaffar, Schneider, Thomas
Format: Article
Language:English
Subjects:
Accuracy
Acoustics
Analyzers
Brillouin optical time-domain analyzers
distributed optical sensing
fiber optics sensors
Frequency shift
Low pass filters
Noise
Noise levels
Noise reduction
Photonics
Radio frequency
radio frequency filtering
Radio signals
Sensors
Signal distortion
Signal processing
Signal to noise ratio
Spectrum allocation
stimulated brillouin scattering
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Summary:In this article, we demonstrate the noise reduction and signal to noise ratio (SNR) enhancement in Brillouin optical time-domain analyzers (BOTDA). The results show that, although the main noise contribution comes from the Brillouin interaction itself, a simple low pass filtering on the detected radio frequency (RF) signal reduces remarkably the noise level of the BOTDA traces. The corresponding SNR enhancement depends on the employed cut-off frequency of the low pass filter. Due to the enhancement of the SNR, a mitigation of the standard deviation error of the Brillouin frequency shift (BFS) has been demonstrated. However, RF filters with low cut-off frequency could lead to distortions on the trace signals and therefore detection errors on a non-uniform BFS. The trade-off between the noise reduction and the signal distortion as well as an optimal cut-off frequency are discussed in detail.
ISSN:1424-8220
1424-8220
DOI:10.3390/s19132878