Mission-based situational awareness sensor management and information fusion

A. El-Fallah; A. Zatezalo; R. Mahler; M. Alford

doi:10.1117/12.721518

7 May 2007 Mission-based situational awareness sensor management and information fusion

A. El-Fallah, A. Zatezalo, R. Mahler, M. Alford

Proceedings Volume 6567, Signal Processing, Sensor Fusion, and Target Recognition XVI; 65670Q (2007) https://doi.org/10.1117/12.721518
Event: Defense and Security Symposium, 2007, Orlando, Florida, United States

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.

Citation Download Citation

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

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