Signal processing of single-mode fiber sensor system based on Raman scattering

The spontaneous Raman scattering signal acquired from the single-mode fiber sensor system is completely submerged in noise. In order to effectively detect and eliminate the noise, and to acquire more reliable signal, an improved method combined with cumulative average algorithm and wavelet transform is proposed in this paper and applies to eliminate the noise of Raman scattering signal collected from the sensor system. By comparing, determine to use db5 wavelet and the decomposition level of seven layers. The results show that the signal processing method has better de-noising effect than the traditional processing method, while very well to retain desired signal, shortening the system´s measurement time and improving the system performance. Therefore, the method has better de-noising application potential.