Classification of interference-fading tolerant Φ-OTDR signal using optimal peak-seeking and machine learning [Invited]

• 作者: Yixin Zhang Tong Zhou Zhewen Ding Yanqing Lu Xuping Zhang Feng Wang Ningmu Zou
• 来源期刊: 中国光学快报（英文版）
• 年，卷（期）: 2021,（3）
• 所属期刊栏目: Fiber Optics and Optical Communications
• 页码范围: 36-40
• 页数: 5页
• 语种: 英文
• DOI: 10.3788/COL202119.030601

摘要

A simple and effective interference-fading tolerant method for phase-sensitive optical time-domain reflectometry[Φ-OTDR]using optimal peak-seeking is proposed.This method can reconstruct the vibration signal with high fidelity under the premise of using only an ordinary single-mode sensing fiber without changing the structure of the traditional Φ-OTDR system.Based on the data after interference suppression,we applied different machine learning models to recognize the invasive events category.The promising results show potential applications of Φ-OTDR equipment and future implementation with machine learning algorithms.