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Proceedings Paper

Multisensor fusion effects on the characterization and optimization of TPED architecture performance
Author(s): James B. Kraiman
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Paper Abstract

We describe our approach to model the Tasking, Processing, Exploitation, and Dissemination (TPED) process that accounts for multi-sensor fusion while characterizing and optimizing TPED architecture performance across multiple mission objectives. The method would address the inability of current models to assess the valued added by multisensor fusion techniques to ISR mission success, while providing a means to translate detailed output of sensor fusion techniques to higher-level information that is relevant to ISR planning and analysis. The technical approach incorporates treatment of ISR sensor performance, dynamic sensor tasking and multi-sensor fusion within a probability modeling framework to allow rapid evaluation of TPED information throughput and latency. This would permit characterization/optimization of TPED architecture performance against time critical/sensitive targets (TCTs/TSTs), while simultaneously supporting other air-to-ground targeting missions within the Air Tasking Order cycle. TPED architecture performance metrics would include the probability of achieving operational timeliness requirements while providing requisite target identification and localization.

Paper Details

Date Published: 19 September 2001
PDF: 11 pages
Proc. SPIE 4367, Enabling Technology for Simulation Science V, (19 September 2001); doi: 10.1117/12.440061
Show Author Affiliations
James B. Kraiman, Dynamics Technology, Inc. (United States)


Published in SPIE Proceedings Vol. 4367:
Enabling Technology for Simulation Science V
Alex F. Sisti; Dawn A. Trevisani, Editor(s)

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