基于差分SG-NLM算法的Φ-OTDR扰动定位方法研究

Research on Φ-OTDR disturbance localization method based on differential SG-NLM algorithm

  • 摘要: 针对相位敏感光时域反射计(phase-sensitive optical time domain reflectometer,Φ-OTDR)信号中存在的随机噪声,提出了一种基于差分SG-NLM(Savitzky-Golay- non-local mean)算法的扰动定位方法,以降低非扰动区域的噪声。差分Savitzky-Golay(SG)平滑滤波用于实现外部扰动的初步定位。非局部均值(non-local mean, NLM)算法适用于处理二维信号中的随机噪声,可进一步降低Φ-OTDR幅度信号的噪声。实验结果表明,所提出的方法能够最大限度地滤除随机噪声,达到更好的定位效果。与传统的非局部均值算法和幅度方差定位法相比,信噪比(signal-to-noise ratio, SNR)提高了15.14 dB,空间分辨率提升了4.05 m。

     

    Abstract: For random noise presenting in phase-sensitive optical time domain reflectometer (Φ-OTDR) signals, a disturbance localization method based on differential Savitzky-Golay non-local means (SG-NLM) algorithm was proposed to reduce the noise in non-disturbed areas. The differential Savitzky-Golay (SG) smoothing filtering was used to achieve the preliminary localization of external disturbances. The Φ-OTDR amplitude signal noise could be further reduced by using the non-local means (NLM) algorithm, which was suitable for dealing with random noise included in two-dimensional signals. The experimental results show that the proposed method can maximally filter out random noise and achieve better localization effect. Compared with the traditional NLM algorithm and the amplitude variance localization method, the signal-to-noise ratio (SNR) is increased by 15.14 dB, and the spatial resolution is improved by 4.05 m.

     

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