光子学报, 2015, 44 (1): 0106004, 网络出版: 2015-01-26
相位敏感光时域反射计识别入侵事件算法
Signal Processing of Intrusion Monitoring Based on φ-OTDR
光纤传感器 相位敏感光时域反射计 入侵监测 信号处理 识别准确率 Fiber optic sensors Phase-sensitive Optical Time Domain Reflectrometer Intrusion monitoring Signal processing Identification accuracy rate
摘要
在相位敏感光时域反射计识别入侵事件中, 基于传统算法研究了时间域单点振动判断、空间域相邻点振动判断、特征量峰值比例判断相互结合的算法, 并从算法的识别准确率、实时性、复杂性、定位稳定性等角度, 衡量算法的优劣.实验验证发现, 时间域单点振动判断、空间域相邻点振动判断结合的算法识别入侵事件准确率最高, 达100%, 且实时性满足性能要求, 算法简单, 定位稳定性好.该算法在不同频率下振动事件中适用性较强, 可为相位敏感光时域反射计应用于安防监测领域的信号处理部分提供参考.
Abstract
In monitoring intrusion incidents based on phase-sensitive Optical Time Domain Reflectrometer(φ-OTDR), the methods of combining elements, which are the past records of a single point, the data of neighboring points, and the ratios of peak values, were introduced. The advantages and disadvantages of those methods by accuracy of identification, time consumption, complexity and stability were measured. The experimental results demonstrate the method combining the past records of a single point, and the data of neighboring points achieve the best performance, the identification accuracy rate can be as high as 100%, this method has a good adaptation in different frequencies. The research will contribute to the signal processing part of applying φ-OTDR to security system.
郑印, 段发阶, 涂勤昌, 韦波. 相位敏感光时域反射计识别入侵事件算法[J]. 光子学报, 2015, 44(1): 0106004. ZHENG Yin, DUAN Fa-jie, TU Qin-chang, WEI Bo. Signal Processing of Intrusion Monitoring Based on φ-OTDR[J]. ACTA PHOTONICA SINICA, 2015, 44(1): 0106004.