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Proceedings Paper

Mission-based situational awareness sensor management and information fusion
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Paper Abstract

A theoretical formulation for mission based sensor management and information fusion using advanced tools of probability theory and stochastic processes is presented. We apply Bayes' Belief Network methods to fuse features and determine a tactical significant function which is used by the sensor management objective function. The estimated multi-sensor multi-target posterior that results reflects tactical significant, and is used to determine the course of action for the given mission. We demonstrate the performance of the algorithm using the simple mission of reaching a pre-specified location while avoiding threatening targets, and discuss the results.

Paper Details

Date Published: 7 May 2007
PDF: 12 pages
Proc. SPIE 6567, Signal Processing, Sensor Fusion, and Target Recognition XVI, 65670Q (7 May 2007); doi: 10.1117/12.721518
Show Author Affiliations
A. El-Fallah, Scientific Systems Co., Inc. (United States)
A. Zatezalo, Scientific Systems Co., Inc. (United States)
R. Mahler, Lockheed Martin Tactical Defense Systems (United States)
M. Alford, Air Force Research Lab. (United States)


Published in SPIE Proceedings Vol. 6567:
Signal Processing, Sensor Fusion, and Target Recognition XVI
Ivan Kadar, Editor(s)

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