This report presents a model for tracking manoeuvring objects based on recurrent restrictive estimation and prediction procedures. One of the principal problems in statistical estimation is how to take into account various forms of prior information on unknown parameters. The proposed mathematical techniques make it possible to introduce into recurrent estimation, tracking and prediction procedures a large amount of prior information of different kinds.
Restrictive Estimation in Tracking Problems
01.01.2009
8 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Bayes filter , Bayes risk minimization , Kaiman filtering generalization , Tracking , nonlinear optimization Applications of Mathematics , Computer Systems Organization and Communication Networks , Computer Science , Information Systems and Communication Service , Computer Appl. in Social and Behavioral Sciences , Computer Imaging, Vision, Pattern Recognition and Graphics
Restrictive Estimation in Tracking Problems
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