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Proceedings Paper

Fusion of radar and imaging sensor data for target tracking
Author(s): J. Brent Romine; Edward W. Kamen; Chellury R. Sastry
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Paper Abstract

This paper deals with the fusing of data from radar and imaging sensors at the dynamic level by generating a common state and observation model that relates the measurements to the common state vector. A key point which is taken into account in the paper is the fact that a radar provides center-of-reflection measurements that may not correspond very well to the true target center, and as the target aspect changes, the center-of-reflection may vary about the true target center. For small targets at long range, this effect may be negligible, but for semi- extended or extended objects, the mismatch must be considered. In the approach developed in the paper, the radar center-of-reflection measurements are modeled in terms of random perturbations of unknown constant off-sets from the true target center in spherical coordinates. Estimate of these off-sets are used in an extended Kalman filter approach to target tracking using radar and imaging sensor data. The performance of the resulting tracking filter is evaluated via computer simulations.

Paper Details

Date Published: 6 July 1994
PDF: 12 pages
Proc. SPIE 2235, Signal and Data Processing of Small Targets 1994, (6 July 1994); doi: 10.1117/12.179093
Show Author Affiliations
J. Brent Romine, Georgia Institute of Technology (United States)
Edward W. Kamen, Georgia Institute of Technology (United States)
Chellury R. Sastry, Georgia Institute of Technology (United States)

Published in SPIE Proceedings Vol. 2235:
Signal and Data Processing of Small Targets 1994
Oliver E. Drummond, Editor(s)

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