The Processing of EFPI Fiber Gas Detection Signal Based on Hilbert-Huang Transforms Algorithm

Abstract

In order to obtain spectra from EFPI interference with the noise in the signal spectrum which can get demodulation precision cavity length, HHT method is proposed based gas detection algorithm processing EFPI fiber optic signals. The principle of HHT algorithm is to deal with the noise spectral signal EFPI through empirical mode decomposition (EMD), a group based on the signal obtained their intrinsic mode function (IMF), through to the IMF for Hilbert transform the Hilbert spectrum for time-frequency analysis. Through simulation and numerical analysis, the algorithm to solve the original non-stationary signal interference spectrum , nonlinear shortcomings, through a series of changes to remove noise, which can reduce the difficulty of data processing and increase the accuracy of the gas signal analysis .