DocumentCode :
66266
Title :
A General Solution to Optimal Fixed-Gain ( \\alpha - \\beta -
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
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