DocumentCode :
807017
Title :
Modern state estimation methods from the viewpoint of the method of least squares
Author :
Swerling, P.
Author_Institution :
Technology Service Corporation, Santa Monica, CA, USA
Volume :
16
Issue :
6
fYear :
1971
fDate :
12/1/1971 12:00:00 AM
Firstpage :
707
Lastpage :
719
Abstract :
A tutorial guide is presented to the subject of state estimation. The development is presented as an elaboration of the Gauss method of least squares, and consequently differs in viewpoint somewhat from the more conventional development, which is from the viewpoint of linear filter theory. It is shown that all results obtained via the linear filter development are special cases of results obtainable from the method of least squares viewpoint.
Keywords :
Filtering; Least-squares estimation; State estimation; Filtering theory; Gaussian processes; Least squares approximation; Least squares methods; Mean square error methods; Nonlinear filters; Paper technology; Recursive estimation; State estimation; Terminology;
fLanguage :
English
Journal_Title :
Automatic Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9286
Type :
jour
DOI :
10.1109/TAC.1971.1099815
Filename :
1099815
Link To Document :
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