An non-ad hoc decision rule for Automatic Target Identification using Data Fusion of Dissimilar Sensors
Ali Cheaito, Michel Lecours, Éloi Bossé · 1999
This project addresses specifically the identity data fusion aspects of the decision support system. It discusses how the identity information fusion process fits within a generic Multi-Source Data Fusion (MSDF) system. The MSDF system is applied to information sources which include a number of radars, IFF systems, an ESM system, and a remote track source. The conventional Dempster-Shafer lacks a formal basis upon which decision can be made in the face of ambiguity. We define a non-ad hoc decision rule based on the expected utility (EUI) interval for pruning the unessential proposition which would otherwise overload the real-time data fusion system. A scenario has been selected to demonstrate the performance and the capability of our modified Dempster-Shafer method of evidential reasoning