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Multi-peak detection algorithm based on the Hilbert transform for optical FBG sensing

机译：基于希尔伯特变换的光学FBG传感多峰检测算法

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摘要

A multi-peak detection algorithm based on the Hilbert Transform is proposed to overcome the shortage of traditional single peak detection algorithms, which can extract the Bragg wavelengths from the reflection spectrum in WDM systems. This algorithm introduces the thought of Divide and Conquer, including splitting the reflection spectrum and single peak detection. The multi-peaks can be pre-positioned by splitting the input reflection spectrum after the Hilbert Transform and derivation. Besides, theoretical analysis and the experimental results show that this algorithm using zero as threshold of splitter can greatly enhance the algorithmic portability under different dimensions as well as improve demodulation speed and accuracy. This implies that the proposed algorithm provides a precise demodulation algorithm for the distributed FBG sensor network.
机译：提出了一种基于希尔伯特变换的多峰检测算法，以克服传统单峰检测算法的不足，该算法可以从WDM系统的反射光谱中提取布拉格波长。该算法引入了分而治之的思想，包括分割反射光谱和单峰检测。可以通过在希尔伯特变换和推导之后拆分输入反射光谱来预先定位多峰。另外，理论分析和实验结果表明，该算法以零作为分割器的阈值，可以大大提高算法在不同维度下的可移植性，提高解调速度和准确性。这意味着所提出的算法为分布式FBG传感器网络提供了一种精确的解调算法。

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