Improving the signal-to-noise ratio in a fiber-optic Fabry–Pérot acoustic sensor

2019 ◽  
Vol 16 (6) ◽  
pp. 065106 ◽  
Author(s):  
Hamed Moradi ◽  
Fahimeh Hosseinibalam ◽  
Smaeyl Hassanzadeh
Keyword(s):  
Fiber Optic ◽  
Signal To Noise Ratio ◽  
Acoustic Sensor ◽  
Signal To Noise ◽  
Fabry Perot ◽  
Noise Ratio

scholarly journals Technical Note: Determining regions of interest for CCD camera-based fiber optic luminescence dosimetry by examining signal-to-noise ratio

2011 ◽  
Vol 38 (3) ◽  
pp. 1374-1377 ◽  
Author(s):  
David M. Klein ◽  
Francois Therriault-Proulx ◽  
Louis Archambault ◽  
Tina M. Briere ◽  
Luc Beaulieu ◽  
...  
Keyword(s):  
Fiber Optic ◽  
Signal To Noise Ratio ◽  
Ccd Camera ◽  
Technical Note ◽  
Regions Of Interest ◽  
Signal To Noise ◽  
Luminescence Dosimetry ◽  
Noise Ratio

scholarly journals Signal-to-noise ratio analysis of computational distributed fiber-optic sensing

2020 ◽  
Vol 28 (7) ◽  
pp. 9563 ◽  
Author(s):  
Dayong Shu ◽  
Da-Peng Zhou ◽  
Xinlei Zhou ◽  
Wei Peng ◽  
Liang Chen ◽  
...  
Keyword(s):  
Fiber Optic ◽  
Signal To Noise Ratio ◽  
Ratio Analysis ◽  
Signal To Noise ◽  
Noise Ratio ◽  
Fiber Optic Sensing

scholarly journals Normalized differential method for improving the signal-to-noise ratio of a distributed acoustic sensor

2019 ◽  
Vol 58 (18) ◽  
pp. 4933 ◽  
Author(s):  
Islam Ashry ◽  
Yuan Mao ◽  
Mohd Sharizal Alias ◽  
Tien Khee Ng ◽  
Frode Hveding ◽  
...  
Keyword(s):  
Signal To Noise Ratio ◽  
Differential Method ◽  
Acoustic Sensor ◽  
Signal To Noise ◽  
Noise Ratio

scholarly journals Numerical Modelling of a Distributed Acoustic Sensor Based on Ultra-Low Loss-Enhanced Backscattering Fibers

Sensors ◽  
2021 ◽  
Vol 21 (20) ◽  
pp. 6869
Author(s):  
Lieke Dorine van van Putten ◽  
Ali Masoudi ◽  
James Snook ◽  
Gilberto Brambilla
Keyword(s):  
Numerical Modelling ◽  
Signal To Noise Ratio ◽  
Single Mode ◽  
Acoustic Sensor ◽  
Low Loss ◽  
Signal To Noise ◽  
Optical Components ◽  
Enhanced Backscattering ◽  
Noise Ratio

In this study, a distributed acoustic sensor (DAS) was numerically modeled based on the non-ideal optical components with their noises and imperfections. This model is used to compare the response of DAS systems to standard single-mode fibers and ultra-low loss-enhanced backscattering (ULEB) fibers, a fiber with an array of high reflective points equally spaced along its length. It is shown that using ULEB fibers with highly reflective points improves the signal-to-noise ratio and linearity of the measurement, compared with the measurement based on standard single-mode fibers.

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