An Asymmetrical Dual Sagnac Distributed Fiber Sensor for High Precision Localization Based on Time Delay Estimation

Hu, Yuhan; Chen, Yongchao; Song, Qiuheng; Zhou, Pengwei; Shen, Limou; Peng, Hekuo; Xiao, Qian; Jia, Bo

doi:10.1109/jlt.2021.3105299

Cited by 18 publications

(2 citation statements)

References 20 publications

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“…Therefore, they do not create an interference signal and are only applied to separate optical paths and form two loops of different lengths. When using WDM modules, instead of splitters, radiation with a wavelength of λ 1 and λ 2 will propagate through the first and second loops [ 16 , 17 ]. Signals from the two loops are shifted relative to each other by a time delay, which is determined by the length L D .…”

Section: Introductionmentioning

confidence: 99%

Distributed Acoustic Sensor Using a Double Sagnac Interferometer Based on Wavelength Division Multiplexing

Zhirnov

Choban

Stepanov

et al. 2022

Sensors

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We demonstrated a fiber optic distributed acoustic sensor based on a double Sagnac interferometer, using two wavelengths separated by CWDM modules. A mathematical model of signal formation principle, based on a shift in two signals analysis, was described and substantiated mathematically. The dependence of the sensor sensitivity on a disturbance coordinate and frequency was found and simulated, and helped determine a low sensitivity zone length and provided sensor scheme optimization. A data processing algorithm without filtering, appropriate even in case of a high system noise level, was described. An experimental study of the distributed fiber optic sensor based on a Sagnac interferometer with two wavelengths divided countering loops was carried out. An accuracy of 24 m was achieved for 25.4 km SMF sensing fiber without phase unwrapping.

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Section: Introductionmentioning

confidence: 99%

Distributed Acoustic Sensor Using a Double Sagnac Interferometer Based on Wavelength Division Multiplexing

Zhirnov

Choban

Stepanov

et al. 2022

Sensors

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“…In this method, the sensor structure includes more than two paths for the signal. By extracting the phase information from the received signals and performing cross-correlation, the event location could be determined with better accuracy than the frequency null method [9][10][11][12]. However, this improvement comes with increased sensor structure complexity and cost.…”

Section: Introductionmentioning

confidence: 99%

Sagnac Loop Based Sensing System for Intrusion Localization Using Machine Learning

et al. 2022

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Among all optical sensing techniques, the distributed Sagnac loop (SI) sensor has the advantage of being simple to implement with low cost. Most of the proposed techniques for using SI exploit the frequency null method for event localization. However, such a technique suffers from the low spectrum signal power, complicating event localization under environmental noise. In this work, event localization using time-domain instead of frequency null signals is achieved using machine learning (ML), which is increasingly being exploited in many science fields, including sensing applications. First, a training dataset that includes 200 events is generated over a 50 km effective sensing fiber. These time-domain signals are considered as features for training the ML algorithm. Then, the random forest (RF) ML algorithm is used to develop a model for event location prediction. The results show the capability of ML in predicting the event’s location with 55 m mean absolute error (MAE). Further, the percentage of test realizations with prediction error > 200 m is 0.7%. The sensing signal bandwidth is investigated, showing better performance results for sensing signals of larger bandwidths. Finally, the proposed model is validated experimentally. The results showed good accuracy with MAE < 100 m.

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Wide-frequency-range vibration positioning based on adaptive TQWT for long-distance asymmetric interferometer sensor

Hu,

Liu,

Jin

et al. 2024

Optics and Lasers in Engineering

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An Asymmetrical Dual Sagnac Distributed Fiber Sensor for High Precision Localization Based on Time Delay Estimation

Cited by 18 publications

References 20 publications

Distributed Acoustic Sensor Using a Double Sagnac Interferometer Based on Wavelength Division Multiplexing

Distributed Acoustic Sensor Using a Double Sagnac Interferometer Based on Wavelength Division Multiplexing

Sagnac Loop Based Sensing System for Intrusion Localization Using Machine Learning

Wide-frequency-range vibration positioning based on adaptive TQWT for long-distance asymmetric interferometer sensor

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