Demodulation algorithm based on Fibonacci and cross-correlation for Fabry-Perot sensor

Guangji Lu; Fanchao Zeng; Long Yang; Yuhan Wang; Xinglin Tong

doi:10.1117/12.3032795

5 July 2024 Demodulation algorithm based on Fibonacci and cross-correlation for Fabry-Perot sensor

Guangji Lu, Fanchao Zeng, Long Yang, Yuhan Wang, Xinglin Tong

Proceedings Volume 13184, Third International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024); 1318410 (2024) https://doi.org/10.1117/12.3032795
Event: 3rd International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024), 2024, Kuala Lumpur, Malaysia

Abstract

Sensor technology plays an important role in the field of measurement science and engineering. Fabry-Perot (F-P) sensor has always been the focus of research due to its high precision and sensitivity. Traditional F-P sensor demodulation algorithms have limitations in terms of demodulation time and precision. In order to pursue higher accuracy and achieve faster demodulation, we report a joint demodulation algorithm based on Fibonacci and cross-correlation. The Fibonacci search method is used to quickly search the cavity length corresponding to the maximum cross-correlation number, and the target accuracy is achieved through search iteration. Experimental results show that this algorithm is used for DualCavity Fabry-Perot Interferometer (DFPI) sensor demodulation, with a resolution of 10 pm and a cavity length demodulation time of less than 0.06 s. This study provides new insights for improving the demodulation efficiency and accuracy of F-P sensors.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Guangji Lu, Fanchao Zeng, Long Yang, Yuhan Wang, and Xinglin Tong "Demodulation algorithm based on Fibonacci and cross-correlation for Fabry-Perot sensor", Proc. SPIE 13184, Third International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024), 1318410 (5 July 2024); https://doi.org/10.1117/12.3032795

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