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

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.