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针对基于相敏型光时域反射计(OTDR)的振动传感系统所使用的平均算法、差分算法不能有效实现对扰动的识别定位问题,提出了一种结合小波分析理论和信息熵理论的处理算法,以实现系统对外界扰动的准确评价。在深入分析系统所得信号特征及小波信息熵处理方法特点的基础上,探讨了窗长、步长对评价算法的影响,并使用加权算法对该评价算法进一步优化。实验表明,本方法可以区别噪声信号和扰动信号,实现对外界扰动事件的快速准确识别并精确定位扰动发生的位置,对系统的实际应用有重要意义。
Aiming at the average algorithm used in vibration sensing system based on phase-sensitive optical time-domain reflectometer (OTDR), the differential algorithm can not effectively realize the identification and localization of disturbances, and proposes a combination of wavelet analysis theory and information entropy theory Algorithm, in order to achieve the accurate evaluation of the system disturbance to the outside world. Based on the analysis of the signal characteristics of the system and the characteristics of the wavelet entropy processing method, the influence of the window length and the step length on the evaluation algorithm is discussed, and the evaluation algorithm is further optimized by using the weighted algorithm. Experiments show that this method can distinguish the noise signal from the disturbance signal and realize the rapid and accurate identification of the disturbance events and the precise location of the disturbance, which is of great significance to the practical application of the system.