Dynamic compensation based on noise variance estimation and model reference for sensors
1.School of Computer Science and Technology,Nanjing Normal University,Nanjing,Jiangsu 210042,China; 2.School of Electrical and Automation Engineering,Nanjing Normal University,Nanjing,Jiangsu 210042,China）
Abstract：To solve the problem that unbiased estimate of parameters of the sensor dynamic compensator can not be obtained by using the ordinary least-squares method,a new unbiased identification algorithm is proposed based on the noise variance of the input signal and mode reference.The noise variance was firstly estimated by using the wavelet transform,and then a recursive least-squares method with bias-elimination was applied to estimate the unbiased parameters of the compensator. At the same time,Kalman filter was constructed on reference mode to eliminate the effect of high frequency noise on measurement precision. The simulation experiment was implemented on film thermocouple to verify validity of this algorithm. The results show that the proposed algorithm lowers the request of input signal,so that the white noise is no longer needed,and this algorithm has better practicability.
刘清, 曹国华. 基于噪声方差估计和模型参考的传感器动态补偿[J]. 江苏大学学报（自然科学版）, 2009, 30(6): 601-605.
Liu Qing, Cao Guohua. Dynamic compensation based on noise variance estimation and model reference for sensors[J]. Journal of Jiangsu University(Natural Science Eidtion)
, 2009, 30(6): 601-605.
2009, Vol. 30 
