Fading noise reduction in distributed acoustic sensing using an optimal weighted average algorithm
Fading noise reduction in distributed acoustic sensing using an optimal weighted average algorithm
复制标题
使用最佳加权平均算法减少分布式声学传感中的衰落噪声
DOI：
10.1364/ao.440993
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发表时间：
2021-12-01
期刊：
影响因子：
1.9
通讯作者：
Meng, Zhou
中科院分区：
文献类型：
--
作者：
Lu, Yang;Hu, Xiaoyang;Meng, Zhou
就我们所知，我们提出了一种新的方法来降低分布式声学传感(DAS)中的衰落噪声。采用具有分集检测方案的相敏光学时域反射仪系统采集多种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瑞利信号的解调相位，从而得到具有最佳衰落噪声抑制效果的聚合相位。通过比较传统DAS系统和采用该方法的DAS系统中12.8 km传感光纤的衰落噪声，实验验证了该方法的有效性。(C)2021年美国光学学会
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. (C) 2021 Optical Society of America