海缆布里渊光时域反射信号的去噪方法研究

为了从噪声背景中有效地提取光电复合海缆的布里渊光时域反射信号，根据信号的特点，提出了采用小波阈值法对实时信号进行去噪处理。针对小波阈值去噪参量设置的基础性问题，通过理论分析和实验对比确定了适于海缆布里渊光时域反射信号去噪处理的最优参量，并与中值滤波、均值滤波的去噪效果进行了对比。结果表明，相对于两种传统的滤波方法，最优参量下的小波阈值法能有效去除噪声，不仅信噪比提高了14.1dB，而且能检测出100με的应变变化。该研究对于探索海缆布里渊光时域反射信号的高效处理方法具有重要参考价值。

Study on denoising method of Brillouin optical time domain reflectometry signal of submarine cable

In order to detect the Brillouin optical time domain reflectometry signal (BOTDR) of photoelectric composite submarine cable from the noise background effectively, wavelet threshold method was proposed to denoise the real-time monitoring signal according to the characteristics of signal. Optimal parameters of wavelet threshold denoising suitable for Brillouin optical time domain reflectometer signal of the cable were determined through theoretical analysis and experimental comparison. The effect of wavelet threshold denoising was compared with the effects of median filtering method and mean filtering method. The results show that compared with both the traditional filtering methods, wavelet threshold method with optimal parameters can effectively denoise the signal. It not only can improve signal noise ratio to 14.1dB, but also can detect strain change of 100με. The study has important reference for efficient processing of BOTDR of submarine cables.