Mr. Jiangjiang Gao Profile

Jiangjiang Gao

at Guilin Univ of Electronic Technology

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Proceedings Article | 28 February 2021 Paper

φ-OTDR vibration detection based on dual-channel sensing of a two-mode fiber

Longtao Yang, Jiangjiang Gao, Zujun Qin

Proceedings Volume 11781, 117810H (2021) https://doi.org/10.1117/12.2591333

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Generally, phase-sensitive optical time-domain reflectometer (φ-OTDR) adopts a single-channel sensing structure, which makes it vulnerable to random interferences and increases the probability of vibration misjudgment in practical applications. In this paper, a dual-channel φ-OTDR based on a two-mode fiber (LP₀₁ mode and LP₁₁ mode) is constructed, and a simple demodulation algorithm is designed accordingly to locate pencil-break vibrations. The purpose of using dual-channel scheme is that the probability of false detection, simultaneously happened in double channels at the same position and at the same time, would be greatly reduced. In signal processing, both the conventional amplitude differential accumulation algorithm (DAA) and the standard variance algorithm (SVA) are employed to process the Rayleigh scattering traces of LP₀₁ and LP₁₁ channels to detect the pencil-break. The results show that the DAA is highly dependent on the parameters of the algorithm and not suitable to be directly used in practical. Due to the strong randomness of Rayleigh scattering, it is found that the pencil break cannot be detected just by the SVA. Thus, a simple method of producing two decision signals is proposed for vibration detection by combining the DAA and SVA, in which the DAA signals of one channel are crossmultiplied with the SVA signals in another channel. The results show that this method shows reliable performance of locating the pencil-break.

Proceedings Article | 8 January 2021 Paper

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, 1160703 (2021) https://doi.org/10.1117/12.2583550

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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.

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