Journal
SENSORS
Volume 17, Issue 6, Pages -Publisher
MDPI
DOI: 10.3390/s17061288
Keywords
fiber optic sensors; Rayleigh scattering; vibration detection; adaptive temporal filtering; matched filters; Wiener filters; structural health monitoring
Funding
- Turkish Ministry of Development [2014K121010]
- Informatics and Information Security Research Center of TUBITAK (The Scientific and Technological Research Council of Turkey) [SAP100253]
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Distributed vibration sensing based on phase-sensitive optical time domain reflectometry (phi-OTDR) is being widely used in several applications. However, one of the main challenges in coherent detection-based phi-OTDR systems is the fading noise, which impacts the detection performance. In addition, typical signal averaging and differentiating techniques are not suitable for detecting high frequency events. This paper presents a new approach for reducing the effect of fading noise in fiber optic distributed acoustic vibration sensing systems without any impact on the frequency response of the detection system. The method is based on temporal adaptive processing of phi-OTDR signals. The fundamental theory underlying the algorithm, which is based on signal-to-noise ratio (SNR) maximization, is presented, and the efficacy of our algorithm is demonstrated with laboratory experiments and field tests. With the proposed digital processing technique, the results show that more than 10 dB of SNR values can be achieved without any reduction in the system bandwidth and without using additional optical amplifier stages in the hardware. We believe that our proposed adaptive processing approach can be effectively used to develop fiber optic-based distributed acoustic vibration sensing systems.
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