Journal
JOURNAL OF LIGHTWAVE TECHNOLOGY
Volume 40, Issue 12, Pages 3916-3922Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JLT.2022.3150274
Keywords
Optical fiber sensors; Estimation; Optical fibers; Temperature measurement; Sea measurements; Optical fiber cables; Adaptive optics; Fiber optics; fiber optics sensors; optical time domain reflectometry; Rayleigh scattering
Funding
- European Commission [MSCA-ITN-ETN-722509]
- European Union Next Generation EU/PRTR Program [PLEC2021-007875]
- Spanish Ministerio de Ciencia, Innovacion y Universidades [RTI2018-097957-B-C31, RTI2018-097957-B-C33]
- University of Alcala [CCG20/IA-028]
- Comunidad de Madrid
- FEDER Program [SINFOTON2-CM: P2018/NMT-4326]
- European Research Council [OCEAN-DAS: ERC-2019-POC-875302]
- Spanish MINECO [IJCI-2017-33856]
- MCIN/AEI
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Distributed Acoustic Sensing (DAS) based on chirped pulse coherent reflectometry technique is capable of providing spatially-resolved distributed measurements of physical quantities along an optical fiber. However, the technique is prone to anomalous estimations and cumulative errors. This study analyzes the errors and proposes strategies and processing methods to achieve unprecedented temperature stability.
Distributed Acoustic Sensing (DAS) based on coherent reflectometry with chirped pulses (CP-phi OTDR) is a recent, yet widely recognized technique in providing spatially-resolved distributed measurements of certain physical quantities over the length of an optical fiber. Any given perturbation along the cable can be retrieved as a local temporal shift of the backscattered optical power trace, and recovered using sequential trace-to-trace correlations. However, as a technique that relies on a General Cross-correlation (GCC) estimation function, it displays a non-zero probability of obtaining anomalous estimations, which can fundamentally limit the long-term performance. Furthermore, some demonstrated strategies proposed to mitigate this effect can directly lead to the emergence of cumulative errors, which become as critical as the measurement time increases. Here, we analyze the errors affecting the long-term stability in CP-phi OTDR systems, and we propose several strategies and processing methods to mitigate their effect. We demonstrate a similar to 3 mK error after a one-month continuous temperature experiment performed to a SMF, reaching unprecedented temperature stability in CP-phi OTDR systems with important implications in emerging fields such as DAS seismology or oceanography.
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