CPL - Chalmers Publication Library
| Utbildning | Forskning | Styrkeområden | Om Chalmers | In English In English Ej inloggad.

Joint probabilistic data association filter for partially unresolved target groups

Daniel Svensson (Institutionen för signaler och system, Signalbehandling) ; Martin Ulmke ; Lars Danielsson
Proceedings of the 13th International Conference on Information Fusion (2010)
[Konferensbidrag, refereegranskat]

In many surveillance problems the observed objects are so closely spaced that they cannot always be resolved by the sensor(s). Typical examples for partially unresolved measurements are the surveillance of aircraft in formation, and convoy tracking for ground surveillance. Ignoring the limited sensor resolution in a tracking system may lead to degraded tracking performance, in particular unwanted track-losses. In this paper, we further discuss a recently presented extension of the resolution model by Koch and van Keuk to the case of arbitrary object numbers, and it is shown how that model can be incorporated into the Joint Probabilistic Data Association Filter (JPDAF). Further, through simulations of a ground target tracking scenario, it is shown how the incorporation of the resolution model improves tracking performance when targets are partially unresolved.

Nyckelord: Sensor resolution, target tracking, closely spaced targets, group targets, extended objects, negative information.

Denna post skapades 2010-09-29. Senast ändrad 2014-12-09.
CPL Pubid: 127081


Institutioner (Chalmers)

Institutionen för signaler och system, Signalbehandling



Chalmers infrastruktur