小波变换在压力传感器输出信号去噪中的应用

摘要

Pressure sensor output signal generally contains the noise signal,especially when the pressure signal is relatively weak,the signal?noise ratio is small,the output signal can not be expressed as a high accuracy of the input pressure physical quantity.In order to maximize the pressure sensor output signal?noise ratio based on the analysis of the noise characteristics in the sensor output signal,the wavelet signal is decomposed by the multi?scale analytical characteristics of the wavelet transform,and the appropriate threshold algorithm is used to process the decomposed wavelet coefficients to achieve the reconstruction of the out?put signal in which the noise is removed.The experimental results show that this method can significantly improve the signal?noise ratio of the output signal of the pressure sensor,which is superior to the denoising method based on Fourier transform.%压力传感器输出信号一般都包含了噪声信号,尤其其感受的压力信号比较微弱时,信噪比较小,输出信号不能以较高的精度表示输入压力物理量.为了最大程度地提高压力传感器输出信号的信噪比,在分析传感器输出信号中噪声特性的基础上,利用小波变换的多尺度分析特性对输出信号进行小波分解,选择合适的阈值算法处理分解后的小波系数以实现在重构输出信号中去除噪声.实验结果表明该方法能够显著提高压力传感器输出信号的信噪比,优于基于傅里叶变换的去噪方法.