Optimization of Sensor Management/Sensor Registration

We propose to build a sensor resource management algorithm that builds tasking plans that account for both discrimination and tracking information. This approach, which uses a value of information construct to prioritize tasks based on warfighter-defined value, extends our earlier work in which we provided sensor resource management algorithms for the tracking and for the discrimination problem separately. In both cases we have demonstrated the ability to (1) Allow for possible sensor collaboration if the value of collaborating sensors on a single object outweighs the value of unique tasks since all combinations of sensors will be considered when making the sensor plan; (2) Simulate the differences between short single looks and long continuous observations; (3) Take into consideration sensor slew time and physical limitations; (4) Provide engagement support by reporting track data during times when engagement support is required; (5) Allow for varied tracking constraints to increase the fidelity of the tracking data when engagement support is needed; and (6) Allow sensor resources to be available for kill assessment that may provide a shoot-look-shoot option for sensor tasking.