Title :
Study of eliminating noise of signal in fiber-optic sensor system
Author :
Zhou Mengran ; Zhang Haiqing ; Wu Hongwei
Author_Institution :
Dept. of Electrics & Inf. Eng., Anhui Univ. of Sci. & Technol., Huainan, China
Abstract :
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.
Keywords :
correlation methods; discrete wavelet transforms; fibre optic sensors; gas sensors; signal denoising; cross-correlation function; discrete wavelet transform; fiber methane; gas concentration signal measurement; noise elimination; optical fiber gas sensor system; weak signal; Cross-correlation function; Noise; Sensor; Wavelet transformation;
Conference_Titel :
Optical Communications and Networks (ICOCN 2010), 9th International Conference on
Conference_Location :
Nanjing
DOI :
10.1049/cp.2010.1150