Title :
Maneuvring target tracking using different turn rate models in the interacting multiple model algorithm
Author :
Munir, A. ; Atherton, D.P.
Author_Institution :
Sch. of Eng., Sussex Univ., Brighton, UK
Abstract :
The paper compares the performance of two different configurations of the interacting multiple model (IMM) algorithm in tracking a civil aircraft. The first configuration of the IMM algorithm uses one straight line motion model and different constant turn rate models whereas the other configuration also employs a straight line motion model and a single turn rate model which uses an estimate of the turn rate. In the first algorithm results have been obtained using different process noise values and different numbers of models. From these results recommendations are made regarding the choice of both these variable parameters
Keywords :
Kalman filters; aircraft; object recognition; probability; state estimation; target tracking; Kalman filters; civil aircraft tracking; interacting multiple model; maneuvring target tracking; process noise values; state estimation; straight line motion model; target motion; turn rate models; Aircraft; Bayesian methods; Filtering algorithms; Filters; History; Motion detection; Probability; State estimation; Switches; Target tracking;
Conference_Titel :
Decision and Control, 1995., Proceedings of the 34th IEEE Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
0-7803-2685-7
DOI :
10.1109/CDC.1995.478531
