Title :
Track association and fusion with heterogeneous local trackers
Author :
Chen, Huimin ; Bar-Shalom, Yaakov
Author_Institution :
New Orleans Univ., New Orleans
Abstract :
The problem of track-to-track association and track fusion has been considered in the literature where the local trackers assume the same target motion model and send their local state estimates to the fusion center on demand. Many issues arise when local trackers use different target motion models or even operate on different target state spaces. In this case, selecting an appropriate track association method at the fusion center is essential to the performance of the overall tracking system. In this paper, we examine several track association methods with different assumptions on the target distribution in a surveillance region. We found that the track association performance can be very different among these methods even when they have the same desired level of the correct association probability. In addition, existing track fusion formulas have to be modified to account for the model mismatch among some of the local trackers. The track association and fusion problem is illustrated by a two dimensional tracking example with both active (radar) tracks and passive (electronic support measures - ESM) tracks.
Keywords :
probability; sensor fusion; state estimation; target tracking; association probability; heterogeneous local tracker; passive electronic support measures track; radar tracking; state estimation; surveillance region; target distribution; target motion model; track fusion; track-to-track association; tracking system; Fuses; Motion estimation; Radar tracking; Robustness; Sensor fusion; State estimation; Target tracking; Testing; USA Councils; Yield estimation;
Conference_Titel :
Decision and Control, 2007 46th IEEE Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
978-1-4244-1497-0
Electronic_ISBN :
0191-2216
DOI :
10.1109/CDC.2007.4434638