Title :
Simultaneous estimation of process parameters, noise variance, and signal-to-noise ratio
Author :
Niu, S. ; Fisher, D.Grant
Author_Institution :
Dept. of Chem. Eng., Toronto Univ., Ont., Canada
fDate :
7/1/1995 12:00:00 AM
Abstract :
An efficient and convenient method is developed for the online estimation of the noise variance and signal-to-noise ratio (SNR) of real processes. The method can be incorporated into most parameter estimation algorithms but is particularly appropriate for the augmented UD identification (AUDI) algorithm. The on-line estimates of the variance, SNR, and parameters can be used directly in applications such as filtering and adaptive control
Keywords :
adaptive control; adaptive signal processing; filtering theory; interference (signal); parameter estimation; AUDI; adaptive control; augmented UD identification; filtering; noise variance; online estimation; parameter estimation algorithms; process parameters; real processes; signal-to-noise ratio; Adaptive control; Adaptive filters; Chemical engineering; Filtering; Noise level; Noise measurement; Parameter estimation; Process control; Signal to noise ratio; White noise;
Journal_Title :
Signal Processing, IEEE Transactions on
