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Normalized differential method for improving the signal-to-noise ratio of a distributed acoustic sensor
Author(s) -
Islam Ashry,
Yuan Mao,
Mohd Sharizal Alias,
Tien Khee Ng,
Frode Hveding,
Muhammad Arsalan,
Boon S. Ooi
Publication year - 2019
Publication title -
applied optics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.668
H-Index - 197
eISSN - 2155-3165
pISSN - 1559-128X
DOI - 10.1364/ao.58.004933
Subject(s) - signal to noise ratio (imaging) , optics , laser linewidth , acoustics , vibration , signal (programming language) , noise (video) , distributed acoustic sensing , differential (mechanical device) , position (finance) , optical fiber , signal processing , fiber optic sensor , physics , materials science , laser , computer science , telecommunications , artificial intelligence , finance , economics , image (mathematics) , thermodynamics , programming language , radar
We experimentally introduce a normalized differential method to enhance the time domain signal-to-noise ratio (SNR) of an optical fiber distributed acoustic sensor (DAS). The reported method is calibrated against the typical differential method in noisy DAS systems, including those utilizing a relatively wide linewidth laser or few-mode fiber. In these two systems, the normalized differential method respectively identifies the position information of various vibration events with 1.7 dB and 0.53 dB SNR improvement. We further demonstrate the ability to locate positions along a fiber that are subjected to vibrations of frequencies higher than the theoretical maximum, but without determining these frequencies.

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