强噪声下压力传感器触觉信号的提纯算法设计

Design of Purification Algorithm for Tactile Signal of Pressure Sensor under Strong Noise

压力传感器触觉信号提纯时,易受强噪声干扰,影响信号提纯效果。为解决上述问题,提出基于局域波分解的强噪声下压力传感器触觉信号提纯方法。利用局域波分解对压力传感器中的局部均值特征,排除触觉信号降干扰,避免噪声对信号提纯过程产生影响,并设计校正算法对触觉信号处理,提取频域特征。利用小波变换法分解压力传感器触觉信号,得到信号频域成分。利用阈值重构频域成分,完成强噪声下压力传感器触觉信号的提纯。仿真结果表明,所提方法的提纯时间在2 s上下波动,平均信噪比为14.13 dB,平均均均方根误差为0.63。

When the tactile signal of pressure sensor is purified,it is easy to be disturbed by strong noise,which affects the signal purification effect.In order to solve the above problems,a method of purifying tactile signal of pressure sensor under strong noise based on local wave decomposition is proposed.Local wave decomposition is used to remove the interference of tactile signal and avoid the influence of noise on the signal purification process.A correction algorithm is designed to process the tactile signal and extract the frequency domain features.The tactile signal of pressure sensor is decomposed by wavelet transform,and the frequency domain components of the signal are obtained.The frequency domain components are reconstructed according to threshold,and the tactile signal of pressure sensor is purified under strong noise.The simulation results show that the purification time of the proposed method fluctuates around 2 s,the average signal-to-noise ratio is 14.13 dB,and the average root mean square error is 0.63.