DocumentCode
1102523
Title
Modified extended Kalman filtering
Author
Ahmed, N.U. ; Radaideh, S.M.
Author_Institution
Dept. of Electr. Eng., Ottawa Univ., Ont., Canada
Volume
39
Issue
6
fYear
1994
fDate
6/1/1994 12:00:00 AM
Firstpage
1322
Lastpage
1326
Abstract
In this paper we compare the performance of the extended Kalman filter (EKF) with that of a proposed filter called modified extended Kalman filter (MEKF), in terms of the actual state and the estimated state as a function of time and the integral-squared error as a function of noise intensity both for dynamics and measurement noise. All the simulation results indicate that the performance of the MEKF is better than EKF. For illustration, numerical examples are presented using both EKF and MEKF
Keywords
Kalman filters; filtering and prediction theory; noise; actual state; dynamics; estimated state; integral-squared error; measurement noise; modified extended Kalman filter; noise intensity; Attenuation; Automatic control; Control systems; Filtering; Kalman filters; Linear systems; Nonlinear control systems; Output feedback; Stability; Uncertain systems;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/9.293206
Filename
293206
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