A fast endpoint detection algorithm for dual Mach-Zehnder interferometer vibration sensing system

Yuelang Huang; Kun Liu; Junfeng Jiang; Zhenshi Sun; Xibo Jin; Kang Xue; Sichen Li; Tiegen Liu

doi:10.1117/12.2616436

26 July 2022 A fast endpoint detection algorithm for dual Mach-Zehnder interferometer vibration sensing system

Yuelang Huang, Kun Liu, Junfeng Jiang, Zhenshi Sun, Xibo Jin, Kang Xue, Sichen Li, Tiegen Liu

Proceedings Volume 12279, 2021 International Conference on Optical Instruments and Technology: Optical Sensors and Applications; 122790O (2022) https://doi.org/10.1117/12.2616436
Event: 2021 International Conference on Optical Instruments and Technology, 2022, Online Only

Abstract

In this paper, we propose a fast endpoint detection method for dual Mach-Zehnder interferometer-based vibration sensing system. Firstly, we analyze the varying trend of the signal by derivation to detect the approximate endpoint. Secondly, we split part of the signal before the estimated endpoint into frames. Finally, we estimate the signal to noise ratio of each frame to calibrate the endpoint. Experiments have been carried out to verify the effectiveness of the proposed algorithm. The results show that the accuracy is improved by using threshold judgement twice. And the mean processing time of the proposed method is 0.024s which is at least three times faster than the conventional zero-crossing ratio-based method which is the fastest algorithm as we know. Therefore, the proposed method has great potential in real-time monitoring based on distributed fiber interferometer vibration system.

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Yuelang Huang, Kun Liu, Junfeng Jiang, Zhenshi Sun, Xibo Jin, Kang Xue, Sichen Li, and Tiegen Liu "A fast endpoint detection algorithm for dual Mach-Zehnder interferometer vibration sensing system", Proc. SPIE 12279, 2021 International Conference on Optical Instruments and Technology: Optical Sensors and Applications, 122790O (26 July 2022); https://doi.org/10.1117/12.2616436

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KEYWORDS

Signal to noise ratio

Signal detection

Sensing systems

Signal processing

Detection and tracking algorithms

Mach-Zehnder interferometers

Sensors

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