Ashry Islam, Mao Yuan, Alias Mohd Sharizal, Ng Tien Khee, Hveding Frode, Arsalan Muhammad, Ooi Boon S
Appl Opt. 2019 Jun 20;58(18):4933-4938. doi: 10.1364/AO.58.004933.
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.
我们通过实验引入一种归一化差分方法,以提高光纤分布式声学传感器(DAS)的时域信噪比(SNR)。所报道的方法是针对噪声DAS系统中的典型差分方法进行校准的,包括那些使用相对宽线宽激光器或少模光纤的系统。在这两种系统中,归一化差分方法分别以提高1.7 dB和0.53 dB的信噪比来识别各种振动事件的位置信息。我们进一步展示了沿着光纤定位高于理论最大值频率振动位置的能力,但无需确定这些频率。