DocumentCode
1596962
Title
A new estimator for passive tracking of maneuvering targets
Author
Moorman, Martin J. ; Bullock, Thomas E.
Author_Institution
WL/MNGA, Eglin AFB, FL, USA
fYear
1992
Firstpage
1122
Abstract
A method for reducing the range estimation bias inherent in the extended Kalman filter (EKF) when used for passive tracking is presented. Using a first-order approximation of the bias, the a posteriori state estimation is corrected in an attempt to remove most of the bias. Modifications based on empirical results are required but the resulting estimator is shown to be nearly unbiased and to function well in a stressing scenario where the EKF fails
Keywords
Kalman filters; filtering and prediction theory; radar theory; state estimation; tracking; extended Kalman filter; first-order approximation; maneuvering targets; passive tracking; posteriori state estimation; range estimation bias; Acceleration; Coordinate measuring machines; Equations; Noise measurement; Nonlinear dynamical systems; Nonlinear filters; Performance analysis; Position measurement; State estimation; Target tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Applications, 1992., First IEEE Conference on
Conference_Location
Dayton, OH
Print_ISBN
0-7803-0047-5
Type
conf
DOI
10.1109/CCA.1992.269714
Filename
269714
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