Fusion-Aided Continuous ID for Targeting (FACIT)

"Ground moving target indicator (GMTI) radar provides continuous wide area surveillance coverage and precision tracking of ground moving vehicles. However, there are multiple scenarios, which can be grouped into loss of data and excessive data problems, inwhich tracks can be broken. Most recent research has approached this problem by attempting to fuse radar feature information into a kinematic tracker. This fusion approach actually increases the computational load on the tracker, thus decreasing trackerperformance in critical situations. This concept is based on ORINCON's work on the PFCT and Moving Target Feature Phenomenology for Track Maintenance (MTFPTM) programs. ORINCON's approach to the problem is to implement a Feature Processor and a Target IDManager (TIM) as separate processes. This approach leaves the kinematic tracker free to perform only kinematic tracking, and leaves the computationally intensive feature extraction algorithms in their own process. At the end of Phase I, we will show thata TIM-enabled tracking system can maintain target identification through many common kinematically confusing scenarios. This will lead to the development of a robust feature processor for integration into a full Target ID Manager-enabled prototypetracking system in Phase II. This research will lead to improvements in long-term track maintenance. These improvements will be applicable to all military systems that require automatic