自适应噪声抵消技术在管道光纤安全预警系统中的应用研究

Application Research of Adaptive Noise Cancellation Technology in Pipeline Optical Fiber Safety Early Warning System

管道光纤安全预警系统利用与管道同沟敷设的光缆,基于瑞利相干技术实时监测管道周边土壤的振动情况,从而对威胁管道安全的事件进行预警,对预防管道被破坏有重要的作用。在实际应用环境中,系统的性能会受到各种噪声的影响,如何有效地抑制噪声,从而提高系统的信噪比、提高系统的事件识别准确率是一个重要的研究方向。介绍了自适应滤波技术中噪声抵消技术的原理与算法,对自适应噪声抵消算法中的最小均方算法进行了讨论,应用MATLAB进行了仿真,对不同参数和不同输入信号,分析比较了各种情况下影响自适应噪声抵消效果的因素。最后,通过对系统采集到的真实信号进行自适应噪声抵消测试,得出需要通过一定的手段实时采集与系统相关的随机噪声,才能通过自适应噪声抵消技术有效滤除信号中的噪声,从而提高信号的信噪比。

The pipeline optical fiber safety early warning system uses the optical cable laid in the same trench as the pipeline,based on Rayleigh coherent technology to monitor the vibration of the soil around the pipeline in real time,so as to provide early warning of events that threaten the pipeline safety,and has an important role in preventing pipeline damage.In the actual application environment,the performance of the system will be affected by various noises.How to effectively suppress the noise,so as to improve the signal-to-noise ratio of the system and improve the accuracy of the event recognition is an important research direction.This paper introduces the principle and algorithm of noise cancellation technology in adaptive fi ltering technology,discusses the least mean square algorithm in adaptive noise cancellation algorithm,uses MATLAB to simulate,analyzes and compares different parameters and different input signals factors that affect the adaptive noise cancellation effect in this situation.Finally,through the adaptive noise cancellation test on the real signal collected by the system,it is concluded that the random noise associated with the system needs to be collected in real time by certain means in order to effectively fi lter the noise in the signal through the adaptive noise cancellation technology,thereby improving the signal-to-noise ratio of the signal.