Identifying vehicle vibrations on a highway based on multipath information fusion in φ-OTDR systems

Jiangjiang Gao; Zujun Qin; Longtao Yang; Cong Chen; Feng Hu; Wangchun Zhu; Wentao Zhang; Xianming Xiong

doi:10.1117/12.2583550

8 January 2021 Identifying vehicle vibrations on a highway based on multipath information fusion in φ-OTDR systems

Jiangjiang Gao, Zujun Qin, Longtao Yang, Cong Chen, Feng Hu, Wangchun Zhu, Wentao Zhang, Xianming Xiong

Proceedings Volume 11607, Optics Frontiers Online 2020: Distributed Optical Fiber Sensing Technology and Applications; 1160703 (2021) https://doi.org/10.1117/12.2583550
Event: Optics Frontiers Online 2020: Distributed Optical Fiber Sensing Technology and Applications (OFO-3), 2020, Virtual Event, Online Only

Abstract

In practical application, it is found that single-path phase-sensitive optical time-domain reflectometers (φ-OTDR) is susceptible to noise and random interference, which increases the probability of missing detection over external perturbations by conventional amplitude demodulation. In the work, a dual-channel system based on two fibers extracted from an armored four-core cable is investigated to enhance the robustness of the φ-OTDR. In signal demodulation, by combining the conventional differential accumulation algorithm (DAA) and standard deviation algorithm (SVA) a multipath information fusion algorithm (MIFA) is accordingly proposed to conclude whether the vibration signal is present. The MIFA-based dual-channel φ-OTDR is experimentally demonstrated on a highway of 9 km to position a running vehicle, indicating a considerable performance improvement of vibration identification compared to the DAA and SVA.

Citation Download Citation

Jiangjiang Gao, Zujun Qin, Longtao Yang, Cong Chen, Feng Hu, Wangchun Zhu, Wentao Zhang, and Xianming Xiong "Identifying vehicle vibrations on a highway based on multipath information fusion in φ-OTDR systems", Proc. SPIE 11607, Optics Frontiers Online 2020: Distributed Optical Fiber Sensing Technology and Applications, 1160703 (8 January 2021); https://doi.org/10.1117/12.2583550

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