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
2009-01-01
8 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Tracking , Bayes filter , Kaiman filtering generalization , Bayes risk minimization , nonlinear optimization Computer Science , Computer Systems Organization and Communication Networks , Applications of Mathematics , Information Systems and Communication Service , Computer Imaging, Vision, Pattern Recognition and Graphics , Computer Appl. in Social and Behavioral Sciences
Restrictive Estimation in Tracking Problems
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