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Classification of interference-fading tolerant Φ-OTDR signal using optimal peak-seeking and machine learning [Invited] 被引量:1
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作者 Yixin Zhang Tong Zhou +4 位作者 Zhewen Ding Yanqing Lu Xuping Zhang Feng Wang Ningmu Zou 《Chinese Optics Letters》 SCIE EI CAS CSCD 2021年第3期36-40,共5页
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 h... 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. 展开更多
关键词 Φ-OTDR fading suppression machine learning
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