摘要
在利用传感器进行动态测量时 ,为了得到精确的测量结果 ,需要对传感器进行动态补偿 ,补偿环节可以通过系统辨识得到 .由于测量噪声的存在 ,会使得辨识得到的补偿环节存在一定误差 ,影响到测量系统的精度 .利用小波分析的方法可以对传感器输出信号进行滤波消噪 .利用消噪后的信号 ,通过系统辨识方法建立传感器动态特性的补偿环节 .仿真研究表明 。
It is necessary to compensate for the dynamic measurement's error when using the sensor for dynamic measurement in order to get accurate results. The mathematic model of compensation block can be established by system identification. However, the presence of measurement noises could cause certain error in system identification, thus decreasing the accuracy of the measurement. To solve this problem, the output signal of the sensor with additive noises were decomposed, denosied and reconstructed by wavelet analysis. The simulation study showed that the approach could minimized the influences of noises.
出处
《南京师范大学学报（工程技术版）》
CAS
2004年第2期33-36,共4页
Journal of Nanjing Normal University(Engineering and Technology Edition)
基金
国家自然科学基金资助项目 ( 60 2 0 2 0 12 )
关键词
传感器
动态补偿
辨识
噪声
小波分析
sensor, dynamic compensation, system identification, noise, wavelet
