Track fusion with feedback

Oliver E. Drummond

doi:10.1117/12.241196

31 May 1996 Track fusion with feedback

Oliver E. Drummond

Proceedings Volume 2759, Signal and Data Processing of Small Targets 1996; (1996) https://doi.org/10.1117/12.241196
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States

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.

Citation Download Citation

Oliver E. Drummond "Track fusion with feedback", Proc. SPIE 2759, Signal and Data Processing of Small Targets 1996, (31 May 1996); https://doi.org/10.1117/12.241196

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available