pp. 27-35
S&M2790 Research Paper https://doi.org/10.18494/SAM3741 Published: January 20, 2022 Demodulation Algorithm for Fiber Bragg Grating Sensors [PDF] Jianxin Zheng, Huadong Yang, Zichao Wang, and Zhiang Liu (Received November 24, 2021; Accepted January 17, 2022) Keywords: fiber Bragg grating, demodulation algorithm, variable step size, correlation coefficient
A demodulation algorithm is vital for a fiber Bragg grating (FBG) sensing system. In this paper, a novel demodulation algorithm based on the variable-step-size method and cross-correlation algorithm is proposed to demodulate the wavelength of an FBG. By changing the step size of each calculation, the amount of calculation can be greatly reduced, and pm-level resolution can be achieved over the whole bandwidth. A simulation shows that the demodulation results are not affected by noise, and the algorithm can accurately demodulate the FBG wavelength in a large range. The stability of the algorithm is also tested using three FBG sensors, and the results show that the difference among 25 measurements is only 4 pm. Moreover, the results of temperature calibration experiments show that the sensitivity of the sensor is 41.9 pm/℃, which is similar to the value of 45 pm/℃ provided by the manufacturer. The R2 value of the fitting curve is 0.9994, which means that the demodulation algorithm can be effectively used in sensing measurement.
Corresponding author: Huadong YangThis work is licensed under a Creative Commons Attribution 4.0 International License. Cite this article Jianxin Zheng, Huadong Yang, Zichao Wang, and Zhiang Liu, Demodulation Algorithm for Fiber Bragg Grating Sensors, Sens. Mater., Vol. 34, No. 1, 2022, p. 27-35. |