Abstract
Peak-detection algorithm is a crucial part of fiber grating signal demodulation. It plays a decisive role in the accuracy, speed and anti-noise performance of the entire system. This article introduces the research focusing on peak-detection algorithms and summarizes the common peak-detection algorithms in recent years into three types: traditional direct peak-detection algorithms, classic fitting peak-detection algorithms, and innovative improved algorithms. It mainly includes direct peak-detection algorithm, centroid detection algorithm, polynomial fitting method, gauss fitting algorithm, cubic spline interpolation algorithm, adaptive semi-peak-seek algorithm and Steger peak detection algorithm. The principles of various peak-finding algorithms are explained and the characteristics and performance of each algorithm are comprehensively compared. It is convenient to choose the optimal demodulation algorithm in the future research tasks according to different actual conditions and requirements.
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References
Yao, G., Yin, Y., Li, Y., Fan, H.: Summary of research on high precision fiber grating wavelength demodulation method. Study Opt. Commun. 1–14 (2021)
Guo, X.: The Design and Research of the Fiber Grating Demodulating System and Algorithm. North University of China (2017)
Wang, Z.: Research on the Demodulation Method of Optical Fiber Grating Sensing Signal. North China Electric Power University (2011)
Sun, J., Huang, J., Gu, H., Li, S., Yang, G.: Direct peak-detection algorithm and centroid detection algorithm in Tunable F-P filter based demodulation system. J. Sichuan Ordnance 32(06), 83–85 (2011)
Liu, Q., Wang, H.: Research on the peak-detection algorithm in the high-frequency demodulation for the fiber Bragg grating. J. Wuhan Univ. Technol. 32(06), 59–61+88 (2010)
Yang, Z., Ju, W., Li, Y.: Research advances in high precision demodulation of FBG wavelength. Study Opt. Commun. 1–9 (2020)
Tong, G., Liu, B., Huang, L., Chen, C., Xu, H.: FBG demodulation method based on meta-heuristic algorithm. Study Opt. Commun. 1–8 (2021)
Jiang, H., Guo, Y., Zheng, X., Liu, P., Zhou, S.: Research on an improved spectral peak seeking algorithm with high precision. Study Opt. Commun. (01), 33–37 (2020)
Chen, Y., Yang, X., Liu, H., Yang, K., Zhang, Y.: Exponential modified Gaussian fitting peak-detection algorithm for FBG sensing signal processing. Spectrosc. Spectral Anal. 36(05), 1526–1531 (2016)
Jiang, H., Li, J., Zhang, S., Wang, X., Wang, F.: Research on fiber grating demodulation algorithm based on K-L transform. Laser Infrared 47(08), 1029–1032 (2017)
Wang, Q., Yang, Y.: A FBG spectrum peak detection technique based on Steger image algorithm. Acta Optica Sinica 34(08), 133–138 (2014)
Guo, X., Yang, Q.: Research on an asymmetric Gaussian fitting peak-detection algorithm based on FGA state machine. Electron. Des. Eng. 26(01), 161–165 (2018)
Zhang, J., Xiong, Y., Wu, Z., Li, W.: Wavelength demodulating algorithm of FBG dynamic tuned by DFB laser. J. Harbin Univ. Sci. Technol. 24(02), 139–143 (2019)
Li, N., Wang, D., Wang, Y., Bai, Q., Zhou, H., Jin, B.: Research on influence of curve fitting algorithm on demodulation performance of fiber Bragg grating sensor. Chin. J. Sens. Actuators 32(05), 711–714 (2019)
Liu, Q., Cai, L., Li, Z., Tang, Z., Du, F., Zhao, M.: Research on peak-detection algorithm for high-speed and high-precision FBG demodulation. J. Optoelectron. Laser 23(07), 1233–1239 (2012)
Acknowledgement
I appreciate my college which gives me a comfortable learning atmosphere. Second, I would like to show my deepest gratitude to my supervisor, Miss Sun, who has walked me through all the stages of the writing of this thesis. Without her illuminating instruction and patience, this thesis could not have reached its present form. I am also greatly indebted to all my teachers who have helped me to develop fundamental and essential academic competence.
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Guo, X. (2022). Research on Peak-Detection Algorithms of Fiber Bragg Grating Demodulation. In: Ma, M. (eds) Proceedings of the 4th International Conference on Telecommunications and Communication Engineering. ICTCE 2020. Lecture Notes in Electrical Engineering, vol 797. Springer, Singapore. https://doi.org/10.1007/978-981-16-5692-7_12
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DOI: https://doi.org/10.1007/978-981-16-5692-7_12
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