光纤温度传感系统中信号去噪方法

摘要

Aiming at problems of large temperature signal noise aquired by temperature sensor,analyze on characteristics of interference noise signal in the process of temperature acquisition,and the effects of the moving average filtering and the wavelet transform on signal denoising are studied.Aiming at acquired temperature signal,select suitable wavelet denoising method,and the optimal wavelet base and the number of hierarchical layers are determined,then temperature signal processed by translational sliding filtering algorithm,and the mean square error(MSE),signal to noise ratio (SNR) and smoothness index of denoising signal,which determine de-noising effect the pros and cons.The experimental results show that the proposed de-noising algorithm can effectively remove the interfering noise in the useful signal,and the signal-to-noise ratio can be increased by 10 ～12 dB in the case of no distortion.%针对光纤温度传感系统采集的温度信号噪声较大的问题,分析了温度采集过程中干扰噪声信号的特点、滑动平均滤波和小波变换两种方法对信号去噪的效果.针对采集的温度信号,选择合适的小波去噪方法,并确定了最优的小波基和分级层数,将经过平移滑动滤波算法处理后的温度信号,进一步进行小波去噪处理,并将均方根误差(RMSE)、信噪比(SNR)及去噪信号的平滑度指标R,作为判定去噪效果的依据.实验结果表明:综合去噪算法能够有效去除有用信号中的干扰噪声,在信号无失真的情况下信噪比可以提升10～12 dB.