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Normalized differential method for improving the signal-to-noise ratio of a distributed acoustic sensor

机译:用于提高分布式声学传感器的信噪比的归一化差分方法

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摘要

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. (C) 2019 Optical Society of America
机译:我们通过实验引入了归一化的差分方法,以增强光纤分布式声学传感器(DAS)的时域信噪比(SNR)。 报告的方法针对嘈杂DAS系统中的典型差分方法校准,包括利用相对宽的线宽激光或少量模式光纤的差分方法。 在这两个系统中,归一化的差分方法分别识别了具有1.7dB和0.53dB的SNR改进的各种振动事件的位置信息。 我们进一步证明了能够定位沿着经过高于理论最大值的频率振动的光纤的位置,但不确定这些频率。 (c)2019年光学学会

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  • 来源
    《Applied optics》 |2019年第18期|共6页
  • 作者单位

    KAUST Comp Elect &

    Math Sci &

    Engn Thuwal 239556900 Saudi Arabia;

    KAUST Comp Elect &

    Math Sci &

    Engn Thuwal 239556900 Saudi Arabia;

    KAUST Comp Elect &

    Math Sci &

    Engn Thuwal 239556900 Saudi Arabia;

    KAUST Comp Elect &

    Math Sci &

    Engn Thuwal 239556900 Saudi Arabia;

    Saudi Aramco EXPEC Adv Res Ctr Dhahran 34464 Saudi Arabia;

    Saudi Aramco EXPEC Adv Res Ctr Dhahran 34464 Saudi Arabia;

    KAUST Comp Elect &

    Math Sci &

    Engn Thuwal 239556900 Saudi Arabia;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 应用;
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