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首页> 外文期刊>Sensors >Signal-to-Noise Ratio Enhancement Based on Empirical Mode Decomposition in Phase-Sensitive Optical Time Domain Reflectometry Systems
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Signal-to-Noise Ratio Enhancement Based on Empirical Mode Decomposition in Phase-Sensitive Optical Time Domain Reflectometry Systems

机译:相位敏感光时域反射系统中基于经验模态分解的信噪比增强

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We propose a novel denoising method based on empirical mode decomposition (EMD) to improve the signal-to-noise ratio (SNR) for vibration sensing in phase-sensitive optical time domain reflectometry (φ-OTDR) systems. Raw Rayleigh backscattering traces are decomposed into a series of intrinsic mode functions (IMFs) and a residual component using an EMD algorithm. High frequency noise is eliminated by removing several IMFs at the position without vibration selected by the Pearson correlation coefficient (PCC). When the pulse width is 50 ns, the SNR of location information for the vibration events of 100 Hz and 1.2 kHz is increased to as high as 42.52 dB and 39.58 dB, respectively, with a 2 km sensing fiber, which demonstrates the excellent performance of this new method.
机译:我们提出一种基于经验模态分解(EMD)的新型去噪方法,以提高相敏光时域反射仪(φ-OTDR)系统中振动传感的信噪比(SNR)。使用EMD算法,将原始瑞利反向散射轨迹分解为一系列本征模式函数(IMF)和残余分量。通过消除在没有皮尔逊相关系数(PCC)选择的振动的位置上的几个IMF,可以消除高频噪声。当脉冲宽度为50 ns时,使用2 km传感光纤,对于100 Hz和1.2 kHz振动事件的位置信息的SNR分别提高到42.52 dB和39.58 dB,这证明了其出色的性能。这种新方法。

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