Paper
18 December 2023 Adaptive multi-peak demodulation algorithm for distributed fiber Bragg grating sensing systems based on Hilbert transform
Xingyu Wan, Tianyu Yang, Yuyang Lou, Shiyuan Dong, Tianyu Wang, Jingyi Han, Jianwei Wu, Yuming Dong
Author Affiliations +
Proceedings Volume 12968, AOPC 2023: Optic Fiber Gyro ; 129681A (2023) https://doi.org/10.1117/12.3007166
Event: Applied Optics and Photonics China 2023 (AOPC2023), 2023, Beijing, China
Abstract
To mitigate the failure of a Hilbert transform-based fixed-threshold multi-peak demodulation algorithm in distributed Fiber Bragg Grating (FBG) sensing systems with light noise, an adaptive multi-peak demodulation algorithm based on the Hilbert transform is proposed in this paper. The algorithm adopts the thought of Divide and Conquer, including reflection spectrum segmentation and single peak detection. Multiple sub-spectra of the FBG multi-peak spectrum is segmented by the Hilbert transform and calculating adaptive threshold method, and then the Gaussian fitting algorithm is used to achieve the precise positioning of the spectral peaks. Theoretical analyses and simulation results show that the algorithm using an adaptive threshold as a threshold of splitter can greatly improve the portability of the algorithm in complex situations, and improve the algorithm’s noise resistance, demodulation speed, and accuracy. It shows that the algorithm provides a new way of demodulation for distributed FBG sensing systems.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Xingyu Wan, Tianyu Yang, Yuyang Lou, Shiyuan Dong, Tianyu Wang, Jingyi Han, Jianwei Wu, and Yuming Dong "Adaptive multi-peak demodulation algorithm for distributed fiber Bragg grating sensing systems based on Hilbert transform", Proc. SPIE 12968, AOPC 2023: Optic Fiber Gyro , 129681A (18 December 2023); https://doi.org/10.1117/12.3007166
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KEYWORDS
Fiber Bragg gratings

Detection and tracking algorithms

Demodulation

Reflection

Signal to noise ratio

Computer simulations

Sensing systems

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