Trajectory Reconstruction Algorithms for Consistent Event Registration (TRACER)

Team ATA proposes to extend development through Phase II for a set of Trajectory Reconstruction Algorithms for Consistent Event Registration (TRACER) that will estimate the time and accurate 6-state track estimates of the breakup event of a ballistic exo-atmospheric object.TRACER is based on the Bayesian-based mathematical framework of finite set statistics (FISST).The Missile Defense Agencys command, control, battle management, and communications (C2BMC) system has many missions in support of ballistic missile defense engagements.Focusing on off-nominal breakup events of tracked targets, the reconstruction of these events needs to be able to supply a best estimate of the time of the breakup event and the state of the parent target at the time of breakup.Since multiple data streams feed the C2BMC system, the target tracking needs to be performed in a framework of multi-sensor filtering.This framework also needs to be able to handle the post breakup multi-target problem.As a result, new approaches are needed for multi-target, multi-sensor data fusion and event reconstruction that provide the C2BMC system the means necessary to inform battle management on a real-time basis of off-nominal target breakup events.Phase II will conclude with testing using realistic MDA data from multiple sensors.