Radar tracking of a ballistic object flying in the Earth's atmosphere is a very complex issue to cope with, due to the need of (suboptimal) nonlinear filtering techniques. When the characteristics of the target are poorly known, and an identification problem is added, a solution is represented by a multiple model approach. This paper investigates the problem by evaluating a number of parameters which affect the solution. The multi modal approach is compared with a generic extended Kalman filter. A theoretical limit for the performance is computed by means of the posterior Cramér-Rao lower bound.
Tracking a ballistic target by multiple model approach
01.03.2009
571583 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Radar Tracking Optimization for Ballistic Target Scenarios
British Library Conference Proceedings | 2009
|Interacting Multiple Model Filter for Tactical Ballistic Missile Tracking
Online Contents | 2008
|