We present a (suboptimal) filtering algorithm for tracking highly maneuvering targets in a cluttered environment using multiple sensors. We concentrate on two targets which temporarily move in close formation, giving rise to a single detection due to the resolution limitations of the sensor. The filtering algorithm is developed by applying the basic interacting multiple model (IMM) approach and a joint probabilistic data association with merged measurements (JPDAM) technique and coupled target state estimation to a Markovian switching system. The algorithm is illustrated via two simulation examples. Compared with an existing IMM/JPDA (joint probabilistic data association) filtering algorithm developed without accounting for merged measurements, the proposed algorithm achieves significant improvement in both the accuracy of track estimation during target merging period and the number of lost tracks.
Tracking of two targets in clutter with possibly unresolved measurements
IEEE Transactions on Aerospace and Electronic Systems ; 44 , 2 ; 748-765
01.04.2008
3655829 byte
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Tracking of Two Targets in Clutter with Possibly Unresolved Measurements
Online Contents | 2008
|Bayesian Tracking of Two Possibly Unresolved Maneuvering Targets
Online Contents | 2007
|6.0201 Tracking Closely-Spaced, Possibly Unresolved, Rayleigh Targets: Idealized Resolution
British Library Conference Proceedings | 2002
|