摘要
在传感器的输出端串接一个动态补偿环节,改善传感器的特性,补偿动态测量误差.其本质是一个带通或高通滤波器,在补偿测量误差的同时,会引入严重的高频噪声干扰,影响测量系统的精度.为了解决这个问题,研究了一个在噪声环境下,改善传感器动态特性的新方法.该方法采用试验数据,通过系统辨识的方法得到补偿环节系数,消除测量误差.同时,采用多项式预测滤波和中值滤波相结合的方法减小测量系统的噪声.最后,通过对热敏电阻动态测量误差的补偿,验证了该方法的有效性.
A dynamic compensation unit is connected to output port of sensors in series for improving the characteristics and compensating dynamic measurement error of sensors. The unit is a band-pass filter or a high-pass filters. It can eliminate dynamic measurement errors, but cause severe noise amplification. In order to solve this problem, a new method that compensates dynamic measurement error of sensors with measurement noise is proposed. The coefficient of the unit is obtained via experimental data. At the same time, a hybrid filter that combines polynomial prediction filter and median filter for denoising is employed. The method is proved to be effective by the simulation experiment.
出处
《江苏大学学报（自然科学版）》
EI
CAS
北大核心
2006年第2期160-163,共4页
Journal of Jiangsu University：Natural Science Edition
基金
国家"十五""211"一期学科建设基金资助项目
关键词
传感器
动态误差
补偿
测量
噪声
多项式预测滤波器
sensors
dynamic error
compensation
measurement
noise
polynomial prediction filter
