Φ-OTDR disturbance localization of communication optical cable based on moving variance average and spectral subtraction
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摘要:
针对相位敏感光时域反射(phase sensitive-optical time domain reflectometry, Φ-OTDR)系统对电力通信光缆上扰动的定位易受环境噪声影响而导致定位信号信噪比低的问题,文中对基于移动方差平均与谱减法的Φ-OTDR定位技术进行研究。首先,通过搭建的相干探测型Φ-OTDR系统连接光纤与光缆进行舞动模拟实验,并采集背向瑞利散射信号,对其进行解调获得幅度信号曲线。其次,通过选择合适的曲线数量与最优步长对幅度曲线进行移动方差平均处理,得到初步的扰动定位图。然后,针对定位区域外的环境噪声,使用谱减法进行降噪,实现定位效果增强。最后,将小波分解降噪与经验模态分解降噪2种方法与谱减法进行对比,结果显示谱减法的定位效果明显优于其他2种降噪算法,经过谱减法降噪处理后的扰动定位信号的信噪比提升可超过20 dB,从采集原始信号到完成定位和降噪处理的计算时间低至0.58 s。
Abstract:
To address the issue of low signal-to-noise ratio in disturbance localization on power communication optical cables caused by environmental noise in phase sensitive-optical time domain reflectometry (Φ-OTDR) systems, the Φ-OTDR localization technique is investigated based on moving variance averaging and spectral subtraction. A coherent detection Φ-OTDR system is built to connect optical fibers and optical cables to carry out galloping simulation experiments. The backward Rayleigh scattering signal is acquired by using the system and the scattering signal is demodulated to obtain the amplitude signal curve. By selecting an appropriate number of curves and an optimal step size, the amplitude signal curves are processed using moving variance average to generate a preliminary disturbance localization map. To suppress ambient noise outside the localization region, noise reduction using spectral subtraction is performed to achieve enhanced localization. A comparative analysis is conducted between spectral subtraction and two alternative noise reduction methods-wavelet decomposition and empirical mode decomposition. The results demonstrate that spectral subtraction significantly outperforms the other two algorithms in localization effectiveness, achieving an SNR improvement exceeding 20 dB while maintaining a computational time as low as 0.58 s.