Fusion-Aided Continuous ID for Targeting (FACIT)

"Toyon Research Corporation proposes to develop algorithms that will task future radars so that the location and identification (ID) of time-critical targets can be supported. Our approach is to treat the problem as a closed-loop feedback system where afusion-aided continuous ID process works with a dynamic sensor-tasking module to maximize the amount of information contained in a track database. The amount of information is quantified using an information-theoretic definition of the expected entropy inthe track database given a candidate sensor schedule. The domain of sensor tasks involves a range of different modes and waveforms so that the tracker may best be serviced for different values of on the expected signal-to-interference ratio, resolution,background traffic, and vehicle classification. In order to evaluate the sensor-tasking module, we will build an improved radar model within the SLAMEM simulation with the assistance of our subcontractor CAESoft Incorporated. We will also implement thedynamic sensor tasker within SLAMEM to control the new radar model and evaluate its performance. We will finish Phase I with a demonstration of the tasking algorithm operating in real time. The successful completion of this research will result in thedevelopment of a sensor manager that supports the location and identification of ground vehicles. This will be useful for many military applications in addition to civilian uses such as border p