Interference fading suppression with fault-tolerant Kalman filter in phase-sensitive OTDR

Wang, Yu; He, Chunchen; Du, Waner; Hu, Huirong; Bai, Qing; Liu, Xin; Jin, Baoquan

doi:10.1016/j.isatra.2024.05.011

ISA Transactions

2024

DOI: 10.1016/j.isatra.2024.05.011

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Interference fading suppression with fault-tolerant Kalman filter in phase-sensitive OTDR

Yu Wang,

Chunchen He,

Waner Du

et al.

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2024

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Cited by 2 publications

References 44 publications

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Fading suppression and noise reduction of a DAS system integrated multi-core fiber

Xiao,

Liu,

et al. 2024

Opt. Express

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Multi-core fiber (MCF) has attracted increasing attention for application in distributed fiber sensing owing to its unique properties of independent light transmission in multiple spatial channels. Here, we report a distributed acoustic sensing (DAS) system integrated MCF to suppress coherent fading, which overcomes an inevitable challenge in DAS systems. Because the parallel spatial cores in MCF allow the use of space-division multiplexed (SDM) technology, we propose that fading can be effectively suppressed by merging different signals with the spatial rotated-vector-average (SRVA) method. We theoretically analyze the principle of SRVA in fading suppression, and identify that it can effectively reduce phase noise with preventing phase unwrapping failures. In our experiment, a DAS system with 2.58-km length MCF have been investigated, the fading rate of Rayleigh backscattered signals is effectively reduced by three orders of magnitude and the amplitude fluctuation range is decreased by 21.9 dB. Compared with the conventional spectrum extraction and remix method (SERM), SRVA reduces the noise level by 9.5 dB, which also shows excellent low-frequency signal recovery ability. Benefiting from its fading suppression, the false alarm of localization is mitigated and the phase recovery can be distortionless. The proposed and verified method is helpful for the application of SDM-based MCF in long-distance distributed fiber sensors and accelerates the progress of integrated sensing and communication.

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Fading suppression and noise reduction of a DAS system integrated multi-core fiber

Xiao,

Liu,

et al. 2024

Opt. Express

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Research on the Conversion Coefficient in Coherent Φ-OTDR and Its Intrinsic Impact on Localization Accuracy

Zhong,

Zou,

Zhang

2024

Photonics

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Phase-sensitive optical time domain reflectometry (Φ-OTDR) plays a crucial role in localizing and monitoring seismic waves, underwater structures, etc. Accurate localization of external perturbations along the fiber is essential for addressing these challenges effectively. The conversion coefficient, which links the detected phase signal to the perturbation signal on the fiber, has a significant impact on localization accuracy. This makes the characteristic of parameters relative to the conversion coefficient in Φ-OTDR a subject of deep research. Based on the coherent Φ-OTDR mathematical model, parameters like the modulus, the statistical phase, the phase change, and the peak difference are analyzed with and without the static region, respectively. When perturbations are homogeneously distributed along the fiber, the absence of static region on the phase change-fiber length plane leads to a nonlinear phase change relationship. This deviation from the expected linear relationship in the presence of static region means that the static region is essential for higher localization accuracy. The absence of static region results in a standard deviation of 0.042263 m for the localization deviation value, which could be theoretically reduced by a new sensor design with a static region. These findings underscore the importance of the conversion coefficient and the relevance of the static region in Φ-OTDR to achieving accurate and effective localization.

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Interference fading suppression with fault-tolerant Kalman filter in phase-sensitive OTDR

Cited by 2 publications

References 44 publications

Fading suppression and noise reduction of a DAS system integrated multi-core fiber

Fading suppression and noise reduction of a DAS system integrated multi-core fiber

Research on the Conversion Coefficient in Coherent Φ-OTDR and Its Intrinsic Impact on Localization Accuracy

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