DocumentCode
814784
Title
Some new algorithms for recursive estimation in constant, linear, discrete-time systems
Author
Morf, M. ; Sidhu, Gursharan S. ; Kailath, Thomas
Author_Institution
Stanford University, Stanford, CA, USA
Volume
19
Issue
4
fYear
1974
fDate
8/1/1974 12:00:00 AM
Firstpage
315
Lastpage
323
Abstract
Certain recently developed fast algorithms for recursive estimation in constant continuous-time linear systems are extended to discrete-time systems. The main feature is the replacement of the Riccati-type difference equation that is generally used for such problems by another set of difference equations that we call of Chandrasekhar-type. The total number of operations in the new algorithm is in general less than with the Riccati-equation based Kalman filter, with significant reductions being obtained in several important special cases. The algorithms are derived via a factorization of increments of the Riccati equation variable, a method that can be extended to nonsymmetric Riccati equations as well.
Keywords
Chandrasekhar equations; Discrete time Riccati equations; Linear systems, time-invariant discrete-time; Recursive estimation; Riccati equations, discrete-time; State estimation; Difference equations; Differential equations; Linear systems; Military computing; Predictive models; Recursive estimation; Riccati equations; Spectral analysis; Speech analysis; Testing;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/TAC.1974.1100576
Filename
1100576
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