利用改进互相关算法的游标效应光纤应变传感器解调方法

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Abstract： The improved cross-correlation algorithm for the strain demodulation Vernier-effect-based optical fiber sensor （VE-OFS） is proposed in this article. The algorithm identifies the most similar spectrum to the measured one from the database the collected spectra by employing the cross-correlation operation， subsequently deriving the predicted value via weighted calculation. As the algorithm uses the complete information in the measured raw spectrum， more accurate results larger measurement range can be obtained. Additionally， the improved cross-correlation algorithm also has the potential to improve the measurement speed compared to current stards due to the possibility for the collection using low sampling rate. This work presents an important algorithm towards a simpler， faster way to improve the demodulation performance VE-OFS.

keywords： improved cross-correlation algorithm; fiber sensor; vernier effect; machine learning

摘要：为了解决基于光学游标效应的光纤应变传感器中传统光谱跟踪解调方式测量精度不足、测量范围小的问题，本文提出了一种改进型互相关算法并将其应用于游标型光纤应变传感器信号解调。（剩余29143字）