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Proceedings Paper

Multisensor detection and tracking of tactical ballistic missiles using knowledge-based state estimation
Author(s): Edward Woods; Tom Queeney
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Paper Abstract

Westinghouse has developed and demonstrated a system that performs multisensor detection and tracking of tactical ballistic missiles (TBM). Under a USAF High Gear Program, we developed knowledge-based techniques to discriminate TBM targets from ground clutter, air breathing targets, and false alarms. Upon track initiation the optimal estimate of the target's launch point, impact point and instantaneous position was computed by fusing returns from noncollocated multiple sensors. The system also distinguishes different missile types during the boost phase and forms multiple hypotheses to account for measurement and knowledge base uncertainties. This paper outlines the salient features of the knowledge-based processing of the multisensor data.

Paper Details

Date Published: 10 June 1994
PDF: 11 pages
Proc. SPIE 2232, Signal Processing, Sensor Fusion, and Target Recognition III, (10 June 1994); doi: 10.1117/12.177735
Show Author Affiliations
Edward Woods, Westinghouse Electric Corp. (United States)
Tom Queeney, Westinghouse Electric Corp. (United States)


Published in SPIE Proceedings Vol. 2232:
Signal Processing, Sensor Fusion, and Target Recognition III
Ivan Kadar; Vibeke Libby, Editor(s)

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