A Hilbert and Gauss Fitting Peak Searching Algorithm Combined with Wavelet Transform

Abstract

Aiming at the interference noise and inherent electronic noise in the demodulation system of FBG sensor network, a new threshold wavelet denoising algorithm is proposed in this paper. Aiming at the demodulation problem after denoising, because the traditional Gaussian fitting algorithm is seriously affected by the spectrum type, the wavelength location of the spectrum adopts a Hilbert transform combined with Gaussian fitting peak finding algorithm, which is verified by Matlab simulation, and the method can reduce the influence of external factors on the spectrum. Compared with other similar algorithms, it can guarantee good measurement accuracy in dealing with asymmetric spectrum and multimodal spectrum.