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Measurement Accuracy Enhancement via Radio Frequency Filtering in Distributed Brillouin Sensing

THz Photonics Group, Institut für Hochfrequenztechnik, Technische Universität BraunschweigSchleinitzstr. 22, 38106 Braunschweig, Germany
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Sensors 2019, 19(13), 2878; https://doi.org/10.3390/s19132878
Received: 12 June 2019 / Accepted: 26 June 2019 / Published: 28 June 2019
(This article belongs to the Special Issue Distributed Optical Fiber Sensing)
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Abstract

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. View Full-Text
Keywords: stimulated brillouin scattering; Brillouin optical time-domain analyzers; fiber optics sensors; distributed optical sensing; radio frequency filtering stimulated brillouin scattering; Brillouin optical time-domain analyzers; fiber optics sensors; distributed optical sensing; radio frequency filtering
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Feng, C.; Preussler, S.; Emad Kadum, J.; Schneider, T. Measurement Accuracy Enhancement via Radio Frequency Filtering in Distributed Brillouin Sensing. Sensors 2019, 19, 2878.

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