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

Abstract 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.

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