A multi-peak demodulation algorithm based on Ht-Exg fiber grating sensing network

Xiangxin Shao; Hanbo Ye; Hong Jiang; Qing Lei

doi:10.1117/12.2687069

6 August 2023 A multi-peak demodulation algorithm based on Ht-Exg fiber grating sensing network

Xiangxin Shao, Hanbo Ye, Hong Jiang, Qing Lei

Proceedings Volume 12781, International Conference on Optoelectronic Information and Functional Materials (OIFM 2023); 1278127 (2023) https://doi.org/10.1117/12.2687069
Event: 2023 International Conference on Optoelectronic Information and Functional Materials (OIFM 2023), 2023, Guangzhou, JS, China

Abstract

Aiming at the poor accuracy of traditional single peak detection algorithm in fiber grating demodulation, this paper proposes a symmetry corrected Gaussian nonlinear fitting algorithm based on Hilbert transform (HT-EXG) for multi peak detection. The algorithm uses Hilbert transform to segment the input reflection spectrum and uses exponential modified Gaussian nonlinear fitting algorithm to correct and optimize its peak position, so as to achieve accurate positioning of the reflection spectrum. The experimental results show that the proposed HT-EXG algorithm improves the accuracy of FBG peak demodulation and the stability of the system. The average error of peak detection is less than 3 pm, and the system stability is better than 0.5 pm. It provides an accurate demodulation method for FBG sensor network peak detection.

Citation Download Citation

Xiangxin Shao, Hanbo Ye, Hong Jiang, and Qing Lei "A multi-peak demodulation algorithm based on Ht-Exg fiber grating sensing network", Proc. SPIE 12781, International Conference on Optoelectronic Information and Functional Materials (OIFM 2023), 1278127 (6 August 2023); https://doi.org/10.1117/12.2687069

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