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
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;
Conference_Titel :
Control Applications, 1992., First IEEE Conference on
Conference_Location :
Dayton, OH
Print_ISBN :
0-7803-0047-5
DOI :
10.1109/CCA.1992.269714
