DocumentCode
851375
Title
An asymptotically efficient ARMA estimator based on sample covariances
Author
Stoica, Petre ; Nehorai, Arye
Author_Institution
Institutul Politehnic Bucuresti, Bucharest, Romania
Volume
31
Issue
11
fYear
1986
fDate
11/1/1986 12:00:00 AM
Firstpage
1068
Lastpage
1071
Abstract
An asymptotically efficient autoregressive moving-average (ARMA) spectral estimator is presented, based on the sample covariances of observed time series. The estimate of the autoregressive (AR) part is shown to be identical to the optimal instrumental variable (IV) estimator in [7] although derived here using a different approach. The moving-average (MA) spectral parameter estimate is new.
Keywords
Autoregressive moving-average processes; Covariance analysis; Filtering; Instruments; Integral equations; Linear systems; Markov processes; Maximum likelihood estimation; Nonlinear filters; Parameter estimation; Power capacitors; Stochastic processes;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/TAC.1986.1104176
Filename
1104176
Link To Document