Ground Target Tracking and Identification System (GTIS)

Daniel H. Wagner Associates, Inc. will develop a Ground Target Tracking and Identification System (GTIS) for fusing all available data using Bayesian inferential reasoning, multiple hypothesis association, and non-Gaussian tracking techniques. In Phase Iof this project we will show how such a system for processing data from large numbers of diverse Ground Moving Target Indicator (GMTI), Signals Intelligence (SIGINT), Imagery Intelligence (IMINT), Measurement and Signature Intelligence (MASINT), and HumanIntelligence (HUMINT) sensors and sources can be developed, and demonstrate its feasibility and effectiveness using demonstration software and simulated (or real-world) data. GTIS will use its fused output to produce an accurate and complete SA picture,easily used and interpreted at all command levels, that will include estimates of the past, current, and future locations of targets of interest and estimates concerning their classification/ID/intentions. Such a data fusion capability is especiallyimportant in urban, mountainous, and forested areas, where contact on the targets, even with a large number of sensors, will be intermittent. The prototype GTIS will allow us to demonstrate how powerful Bayesian inferential reasoning, multiple-hypothesis,and non-Gaussian data fusion techniques can significantly improve the ability of United States forces to track and target ground targets. Improved correlation and tracking technologies such as these are particularly necessary at a time when the UnitedStates is facing sophisticated ground threats such as terrorists in difficult environments, such as the Middle East and Korea, with reduced resources.