DocumentCode
66266
Title
A General Solution to Optimal Fixed-Gain (
-
- ![]()
Author
Crouse, David Frederic
Author_Institution
Radar Div., Naval Res. Lab., Washington, DC, USA
Volume
22
Issue
7
fYear
2015
fDate
Jul-15
Firstpage
901
Lastpage
904
Abstract
A considerable number of papers in the literature provide solutions for fixed-gain filters, such as the α- β filter, that minimize the mean squared error under various dynamic models. This note demonstrates that those specialized models are unnecessary as the tools to explicitly find optimal fixed gains for arbitrary observable systems are already in the literature. The results produced by this method agree with published results for specialized algorithms. The solution of this letter also obviates the need for special “aeolotropic” filter design. Code implementing the algorithm and simulations is available in Matlab on IEEEXplore.
Keywords
filters; mean square error methods; α-β filter; IEEEXplore; Matlab; aeolotropic filter design; arbitrary observable systems; dynamic models; mean squared error; optimal fixed-gain filters; Kalman filters; Mathematical model; Noise measurement; Q measurement; Riccati equations; Signal processing algorithms; Filtering; linear systems; optimal control;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/LSP.2014.2376876
Filename
6971161
Link To Document