Multicore Fiber Enabled Fading Suppression in φ-OFDR Based High Resolution Quantitative DVS

Feng, Yuxiang; Xie, Weilin; Meng, Yinxia; Yang, Jun; Yang, Qiang; Ren, Yanfei; Bo, Tianwai; Tan, Zhongwei; Wei, Wei; Dong, Yi

doi:10.1109/lpt.2022.3199604

Cited by 10 publications

(2 citation statements)

References 15 publications

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“…DAS systems are known to be sensitive to coherent fading issues, that can be addressed by spatial averaging, selection of high backscatter segments 2 , polarization diversity 3 , or use of frequency diversity 4 . Core diversity was also addressed recently 5 . In this paper, we perform distributed sensing over two uncoupled cores in a deployed multi-core fiber (MCF) and discuss several signal processing options to enhance the sensing sensitivity, namely core combination and longitudinal averaging.…”

Section: Introductionmentioning

confidence: 99%

Coherent combination method applied to distributed acoustic sensing over deployed multicore fiber

Orsuti

Guerrier

Palmieri

et al. 2023

European Workshop on Optical Fibre Sensors (EWOFS 2023)

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Section: Introductionmentioning

confidence: 99%

Coherent combination method applied to distributed acoustic sensing over deployed multicore fiber

Orsuti

Guerrier

Palmieri

et al. 2023

European Workshop on Optical Fibre Sensors (EWOFS 2023)

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“…Recently, several papers have proposed methods for mitigating the effects of fading in distributed OFDR configurations designed for phase measurements. Fading can be lowered by averaging the scattering patterns across the cores of a multi-core fiber [ 22 ]. However, the method is intrinsically incompatible with the DAS framework considered in this paper, since it operates on a single-core fiber.…”

Section: Introductionmentioning

confidence: 99%

Machine Learning Estimation of the Phase at the Fading Points of an OFDR-Based Distributed Sensor

Aitkulov

Marcon

Chiuso

et al. 2022

Sensors

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The paper reports a machine learning approach for estimating the phase in a distributed acoustic sensor implemented using optical frequency domain reflectometry, with enhanced robustness at the fading points. A neural network configuration was trained using a simulated set of optical signals that were modeled after the Rayleigh scattering pattern of a perturbed fiber. Firstly, the performance of the network was verified using another set of numerically generated scattering profiles to compare the achieved accuracy levels with the standard homodyne detection method. Then, the proposed method was tested on real experimental measurements, which indicated a detection improvement of at least 5.1 dB with respect to the standard approach.

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Fading noise suppression method of Ф-OTDR system based on non-local means filtering

Li,

Zhang,

Lin

et al. 2023

Optical Fiber Technology

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Multicore Fiber Enabled Fading Suppression in φ-OFDR Based High Resolution Quantitative DVS

Cited by 10 publications

References 15 publications

Coherent combination method applied to distributed acoustic sensing over deployed multicore fiber

Coherent combination method applied to distributed acoustic sensing over deployed multicore fiber

Machine Learning Estimation of the Phase at the Fading Points of an OFDR-Based Distributed Sensor

Fading noise suppression method of Ф-OTDR system based on non-local means filtering

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