Title :
A new approach to clock modeling and Kalman filter time and frequency prediction
Author :
Su, Wei ; Filler, Raymond L.
Author_Institution :
Geo Centers, Inc., Eatontow, NJ, USA
Abstract :
An extension of a previously reported Kalman filter prediction algorithm is presented. In this new algorithm, the time variable is added to the clock model so that both the time and the frequency can be predicted. The long-term limitation of the previous prediction algorithm is removed by calculating the aging time constant using nonlinear fitting with the gradient search technique. The measurement noise covariance can be estimated if the process noise covariance is the null matrix
Keywords :
Kalman filters; clocks; covariance analysis; crystal oscillators; filtering theory; frequency stability; prediction theory; Kalman filter prediction algorithm; aging time constant; clock modeling; filter frequency prediction; filter time prediction; gradient search technique; measurement noise covariance; nonlinear fitting; process noise covariance; quartz oscillator; Aging; Clocks; Covariance matrix; Frequency; Kalman filters; Noise measurement; Predictive models; Technological innovation; Time measurement; Yield estimation;
Conference_Titel :
Frequency Control Symposium, 1993. 47th., Proceedings of the 1993 IEEE International
Conference_Location :
Salt Lake City, UT
Print_ISBN :
0-7803-0905-7
DOI :
10.1109/FREQ.1993.367414
