Study of eliminating noise of signal in fiber-optic sensor system

The measured gas concentration signal in the optical fiber gas sensor system is very weak, now extracting effective information from the weak signal still has some difficulties. In order to solve this problem, we choose the method which combine the discrete wavelet transform and the correlation function to process the optical fiber gas sensor system to eliminate noise. In the experiment, take the fiber methane for example, by detecting the standard concentration of methane gas, and processing the signal with the concentration of methane to verify the effect of noise elimination. The experiment shows that the effect of noise elimination which use the combination of discrete wavelet transform and the cross-correlation function is very good.