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Multi-peak FBG reflection spectrum segmentation based on continuous wavelet transformation

机译：基于连续小波变换的多峰FBG反射谱分割

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摘要

A method to segment multi-peak FBG reflection spectrum based on continuous wavelet transformation (CWT) is proposed and experimentally demonstrated. First order Gaussian or Mexican hat wavelet basis with the suitable scale is selected in CWT processing. The pairs of extremum points in the processed signal are used to segment original signal. Mull-peak FBG spectrum is simulated for the two cases, with no-overlap peaks and noise, with partial overlapped peaks and noise. An experiment is conducted on four FBGs connected together in series. The simulating and experimental results show it has advantages to segment the original signal by CWT in adjusting suitable segmented length and obtaining more accurate central wavelength, compared to traditional methods.
机译：提出了一种基于连续小波变换（CWT）的多峰FBG反射光谱的方法，并实验证明。在CWT加工中选择一定订单高斯或墨西哥帽小波与合适刻度选择。处理信号中的极值点对进行分割原始信号。模拟了两种情况的Mull峰FBG频谱，没有重叠峰和噪声，部分重叠的峰值和噪声。在串联连接的四个FBG上进行实验。模拟和实验结果表明，与传统方法相比，通过CWT将原始信号分段为调整合适的分段长度并获得更精确的中心波长。

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