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使用最优加权平均算法的分布式声学传感中的衰落噪声抑制

Fading noise reduction in distributed acoustic sensing using an optimal weighted average algorithm.

作者信息

Lu Yang, Hu Xiaoyang, Yu Zhijie, Zhu Qi, Meng Zhou

出版信息

Appl Opt. 2021 Dec 1;60(34):10643-10648. doi: 10.1364/AO.440993.

DOI:10.1364/AO.440993
PMID:35200928
Abstract

To the best of our knowledge, we present what we believe is a novel approach for fading noise reduction in distributed acoustic sensing (DAS). Rayleigh signals in multiple optical modes are collected by a phase-sensitive optical time-domain reflectometry system with a diversity detection scheme. An optimal weighted average algorithm is proposed to synthesize the phase demodulated from the Rayleigh signals, leading to the aggregate phase that presents acoustic signals with optimal fading noise reduction. The validity of the proposed approach is experimentally confirmed by comparison of the fading noise along a 12.8 km sensing fiber in a conventional DAS system and a DAS system that employs the proposed approach.

摘要

据我们所知,我们提出了一种我们认为是用于分布式声学传感(DAS)中衰落噪声降低的新颖方法。具有分集检测方案的相敏光时域反射仪系统收集多个光学模式下的瑞利信号。提出了一种最优加权平均算法来合成从瑞利信号解调的相位,从而得到呈现具有最优衰落噪声降低的声学信号的总相位。通过比较传统DAS系统和采用所提出方法的DAS系统中沿12.8公里传感光纤的衰落噪声,实验证实了所提出方法的有效性。

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