Title :
Optimum tracking of a maneuvering target in clutter
Author :
Kenefic, Richard J.
Author_Institution :
Magnavox Electronic Systems Company, Fort Wayne, IN, USA
fDate :
6/1/1981 12:00:00 AM
Abstract :
The optimum a posteriori filter for tracking a target in clutter is combined with an adaptive technique for tracking maneuvering targets. The resulting optimum filter requires an expanding memory. A Monte Carlo investigation of an

scan approximation to the optimum filter is also presented.
Keywords :
Adaptive filters; Clutter; Tracking filters; Automatic control; Calibration; Covariance matrix; Inertial navigation; Information filtering; Information filters; Kalman filters; Noise measurement; State estimation; Target tracking;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.1981.1102720