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在相位光时域反射技术(简称Ф-OTDR)分布式振动信号的处理中,为了保证时间轴上的信噪比和长度轴上有效范围同时得到提升,同时兼顾保留信号特征和时域快速处理两个条件,本文采用了“信噪分类、信号保留、噪声归零”的方式进行信号处理.在信噪分类的过程中,本文首次提出利用改进的带时间特征的序列模式算法(简称TESP),在时域上对Φ-OTDR分布式振动信号数据进行时域编码和特征提取.本文的方法可以同时提高长度轴上的作用域和时间轴上作用域内各点的信噪比,运算速率也得得到了一定的提升.
In order to ensure that the signal-to-noise ratio on the time axis and the effective range on the length axis are improved simultaneously in the process of phase-optical time-domain reflectometry (referred to as Ф-OTDR) distributed vibration signal, both the preserved signal characteristics and the time-domain rapid processing In this paper, we first propose to use the improved sequential pattern algorithm with time features (TESP for short) in the process of classification of signal and noise, , The time-domain encoding and feature extraction of Φ-OTDR distributed vibration signal data in the time domain are carried out.The method in this paper can improve the signal-to-noise ratio of each point in the domain of the length axis and the time axis, Got some improvement.