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Proceedings Paper

Track fusion with feedback
Author(s): Oliver E. Drummond
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Paper Abstract

Track fusion is one of the algorithm architectures for tracking multiple targets with data from multiple sensors. In track fusion for example, sensor-level tracks are combined to form global-level tracks that are based on data from all the sensors. These multiple sensor, global-level can then be fed back to the sensor-level trackers to reduce the data association errors and to improve the accuracy of the sensor-level tracks. The global tracks, however, are cross-correlated with the sensor-level tracks. This track- to-track cross-correlation should be taken into account in algorithm design. This cross-correlation must be considered when providing the global tracks to the sensor trackers as well as when providing the sensor tracks to the global tracker. With feedback, both the global tracks and the tracks from each sensor are based on prior data from not only the sensor itself, but also the other sensors. This paper goes beyond a previous paper and presents algorithm architectures are compared qualitatively.

Paper Details

Date Published: 31 May 1996
PDF: 19 pages
Proc. SPIE 2759, Signal and Data Processing of Small Targets 1996, (31 May 1996); doi: 10.1117/12.241196
Show Author Affiliations
Oliver E. Drummond, Consulting Engineer (United States)


Published in SPIE Proceedings Vol. 2759:
Signal and Data Processing of Small Targets 1996
Oliver E. Drummond, Editor(s)

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