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 / F., Reali; Palmerini, Giovanni Battista; A., FARINA A; L., Timmoneri; A., Graziano. - STAMPA. - (2009), pp. 1-14. (Intervento presentato al convegno IEEE Aerospace Conference tenutosi a Big Sky (MT, USA) nel 7-14 marzo 2009) [10.1109/AERO.2009.4839486].
Tracking a Ballistic Target by Multiple Model Approach
PALMERINI, Giovanni Battista;
2009
Abstract
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
