Translator Disclaimer
Paper
7 May 2007 Mission-based situational awareness sensor management and information fusion
Author Affiliations +
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.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
A. El-Fallah, A. Zatezalo, R. Mahler, and M. Alford "Mission-based situational awareness sensor management and information fusion", Proc. SPIE 6567, Signal Processing, Sensor Fusion, and Target Recognition XVI, 65670Q (7 May 2007); https://doi.org/10.1117/12.721518
PROCEEDINGS
12 PAGES


SHARE
Advertisement
Advertisement
RELATED CONTENT

Signature-aided tracking using association hypotheses
Proceedings of SPIE (July 31 2002)
Infrared search and track technology demonstrator program
Proceedings of SPIE (August 13 1997)
Multiple frame cluster tracking
Proceedings of SPIE (August 07 2002)
Bayesian attribute fusion using off-board ID sources
Proceedings of SPIE (July 05 1995)

Back to Top