Distributed acoustic sensing: how to make the best out of the Rayleigh-backscattered energy?

A. Eyal; H. Gabai; I. Shpatz

doi:10.1117/12.2272458

23 April 2017 Distributed acoustic sensing: how to make the best out of the Rayleigh-backscattered energy?

A. Eyal, H. Gabai, I. Shpatz

Proceedings Volume 10323, 25th International Conference on Optical Fiber Sensors; 103230I (2017) https://doi.org/10.1117/12.2272458
Event: 25th International Conference on Optical Fiber Sensors, 2017, Jeju, Korea, Republic of

Abstract

Coherent fading noise (also known as speckle noise) affects the SNR and sensitivity of Distributed Acoustic Sensing (DAS) systems and makes them random processes of position and time. As in speckle noise, the statistical distribution of DAS SNR is particularly wide and its standard deviation (STD) roughly equals its mean (σ_SNR/⟨SNR⟩ ≈ 0.89). Trading resolution for SNR may improve the mean SNR but not necessarily narrow its distribution. Here a new approach to achieve both SNR improvement (by sacrificing resolution) and narrowing of the distribution is introduced. The method is based on acquiring high resolution complex backscatter profiles of the sensing fiber, using them to compute complex power profiles of the fiber which retain phase variation information and filtering of the power profiles. The approach is tested via a computer simulation and demonstrates distribution narrowing up to σ_SNR/⟨SNR⟩ < 0.2.

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A. Eyal, H. Gabai, and I. Shpatz "Distributed acoustic sensing: how to make the best out of the Rayleigh-backscattered energy?", Proc. SPIE 10323, 25th International Conference on Optical Fiber Sensors, 103230I (23 April 2017); https://doi.org/10.1117/12.2272458

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KEYWORDS

Signal to noise ratio

Backscatter

Acoustics

Speckle

Sensing systems

Computer simulations

Reflectometry

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