DocumentCode
3593208
Title
Direct Estimation of Noise Covariances
Author
Sangsuk-Iam, Suwanchai ; Bullock, Thomas E.
Author_Institution
Department of Electrical Engineering, University of Florida, Gainesville, FL 32611
fYear
1988
Firstpage
1289
Lastpage
1294
Abstract
A direct technique for estimating unknown covariances of the stationary noise processes disturbing a linear time-invariant system is discussed and analyzed in this paper. The technique which is referred to as the stationary preprocessed measurement correlation (SPMC) technique is direct in the sense that the unknown noise covariances can be estimated without requiring the estimate of the state and the stationarity of the measurements. Under certain conditions on the fourth moments of the noise processes, it is shown that the estimate of the noise covariances converges in quadratic mean to their actual value.
Keywords
Convergence; Covariance matrix; Data mining; Independent component analysis; Noise measurement; Particle measurements; Polynomials; Q measurement; State estimation; Stochastic systems;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 1988
Type
conf
Filename
4789919
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