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
2009-03-01
571583 byte
Conference paper
Electronic Resource
English
Radar Tracking Optimization for Ballistic Target Scenarios
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