Mission-based situational awareness sensor management and information fusion
Adel I. El-Fallah, Aleksandar Zatezalo, Ronald Mahler, M. Alford · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2007
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.