Title :
Performance measure for adaptive Kalman estimators
fDate :
4/1/1970 12:00:00 AM
Abstract :
An on-line performance measure for adaptive Kalman estimators is derived which is shown to be an optimal mean-square estimate of actual system performance. The proposed measure utilizes quantities readily available from the adaptive estimator, and hence a minimum of additional computational effort is required for its evaluation.
Keywords :
Adaptive Kalman filtering; Argon; Covariance matrix; Estimation theory; Kalman filters; Random processes; Random variables; Real time systems; State estimation; System performance; Time measurement;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.1970.1099434