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针对拉曼光纤温度传感系统中拉曼散射信号被噪声淹没的问题,利用快速独立成分分析(ICA)法对单模光纤(SMF)中红外激光产生的拉曼散射信号进行去噪处理,并在拉曼散射信号前端添加一定幅值和相位的正弦信号,根据正弦信号处理前后幅值和相位的变化校正拉曼散射信号的幅值和相位,从而完全恢复拉曼散射信号。在20km SMF拉曼温度传感仿真系统中,拉曼散射信号的信噪比(SNR)由14.90dB提高到20.99dB,提高了6.09dB。结果表明,本文方法能有效提高拉曼测温系统的SNR,是一种针对拉曼光纤温度传感系统有效的去噪算法。
Aiming at the Raman scattering signal in Raman optical fiber temperature sensing system, the signal of Raman scattering is submerged by noise, the Raman scattering signal generated by infrared laser in single mode fiber (SMF) is denoised by fast independent component analysis (ICA) A sinusoidal signal with a certain amplitude and phase is added to the front of the Raman scattering signal, and the amplitude and phase of the Raman scattering signal are corrected according to the amplitude and the phase change before and after the sinusoidal signal processing so as to completely recover the Raman scattering signal. In 20km SMF Raman temperature sensing simulation system, the signal-to-noise ratio (SNR) of Raman scattering signal is increased from 14.90dB to 20.99dB, which is improved by 6.09dB. The results show that this method can effectively improve the SNR of Raman temperature measurement system, and is an effective denoising algorithm for Raman optical fiber temperature sensing system.