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Proceedings Paper

Noncooperative target sensor registration in a multiple-hypothesis tracking architecture
Author(s): Robert N. Lobbia; Ellen Frangione; Mark W. Owen
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Paper Abstract

In distributed track-level level fusion system, it is a well-known fact that successful fusion of tracks from offboard sources requires that these tracks do not contain underlying biases or offsets. Unfortunately, this lack of bias or offset is often not the case, because the offboard tracking system references its tracks to a coordinate system that is offset and misaligned with respect to truth due to navigational drift and sensor misalignment. In this paper, we present a technical approach for both detecting and correcting for these biases in a noncooperative target sense. Furthermore, the algorithms are configured to operate in a multiple-hypothesis tracking environment. These algorithms have been implemented in a simulated air threat environment, and performance improvements have been noted of up to an order of magnitude in target/track miss distance.

Paper Details

Date Published: 29 October 1997
PDF: 9 pages
Proc. SPIE 3163, Signal and Data Processing of Small Targets 1997, (29 October 1997); doi: 10.1117/12.279523
Show Author Affiliations
Robert N. Lobbia, ORINCON Corp. (United States)
Ellen Frangione, ORINCON Corp. (United States)
Mark W. Owen, ORINCON Corp. (United States)


Published in SPIE Proceedings Vol. 3163:
Signal and Data Processing of Small Targets 1997
Oliver E. Drummond, Editor(s)

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