Unification of Fusion Theories and Rules, Filter Algorithms, and Target Tracking Methods for Applications to Air Force Problems

In this paper we propose a unification method in order to be able to checking what fusion theory, what combination fusion rule, and what filtering method to use for data fusion, image fusion, and target tracking for each military application. We thus try to solving air force problems using a combination of fusion theories, rules, and target tracking algorithms. Introduction. We focus on four topics for this research: unification of fusion theories and rules, unification of filter algorithms, data fusion and image fusion using neutrosophic logic, and non-linear sequences for target tracking. 1) Unification of Fusion Theories and Rules (UFTR) Since no fusion theories neither rules fully work for all applications, we propose Unification of Fusion Theories and of combination of fusion rules in solving problems/applications. For each particular application, one selects the most appropriate model, rule(s), and algorithm of implementation. We are working in the unification of the fusion theories and rules, which looks like a logical chart for a computer programmer. The unification scenario should periodically be updated incorporating new discoveries from the fusion and engineering research. Amongst fusion theories we remind the most known ones: Bayesian Theory, Dempster-Shafer Theory (DST), Transferable Belief Model (TBM), and Dezert-Smarandache Theory (DSmT). 2) Unification of Filter Algorithms (UFA) The idea is to extend the NIS [Normalized Innovation Squared] procedure and take into consideration all filters to find out which works better. 3) Data Fusion and Image Fusion Methods using Neutrosophic Logic