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.
Title
Rayleigh-Based Distributed Optical Fiber Sensing Using Least Mean Square Similarity
Published in
Proceedings 26th International Conference on Optical Fiber Sensors
Pages
ThE29
Conference
26th International Conference on Optical Fiber Sensors, Lausanne, Switzerland, 24–28 September 2018
Date
2018-09-27
Publisher
Optical Society of America
ISBN
978-1-943580-50-7
Record creation date
2019-01-29