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Research on Peak-Detection Algorithms of Fiber Bragg Grating Demodulation

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Proceedings of the 4th International Conference on Telecommunications and Communication Engineering (ICTCE 2020)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 797))

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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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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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-5691-0

  • Online ISBN: 978-981-16-5692-7

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