Rayleigh-Based Distributed Optical Fiber Sensing Using Least Mean Square Similarity

Large frequency shift errors induced by cross-correlation are investigated in Rayleigh-based distributed sensing. A least mean square method is proposed to reduce those errors, thus increasing the reliability and extending the measurand range.


Published in:
Proceedings 26th International Conference on Optical Fiber Sensors, ThE29
Presented at:
26th International Conference on Optical Fiber Sensors, Lausanne, Switzerland, 24–28 September 2018
Year:
Sep 27 2018
Publisher:
Optical Society of America
ISBN:
978-1-943580-50-7
Keywords:
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 Record created 2019-01-29, last modified 2019-03-16

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