Algorithmic Display for Tracking and Predictive Targeting of Mobile Contracts

The battlespace is a system in which events are driven primarily by the cycle of perception, synthesis, decision-making, and action (Boyd's OODA loop). The perceptual and synthesis components of this cycle are currently the battlespace's weakest links. The proposed approach leverages key capabilities in signal processing to present battlespace dynamics in ways that capitalize on human strengths such as pattern recognition and exploratory behavior. Track prediction of targets is conducted using Focused Dynamic Programming optimization that accounts for terrain information and models, weather, vehicle performance parameters and context-dependent objectives. A novel filtering and prediction technique based on wavelets is used to estimate and project vehicle position and velocity from observation data. The processed historical, trend, statistical, and path-probable data are presented to the operator using the concepts of cognitive consolidation, mental map overlay, and information synthesis through user interaction. The operator can deploy and sequence sensors, and prioritize objectives (or authorize preset priorities) for each target. Munition and available shooter are matched to targets, presenting the operator with a targeting solution that can be revised (specific munitions selected) or accepted. A software prototype, called the Algorithmic Targeting Display System (ATDS) will demonstrate concept feasibility of using a time-critical targeting simulation.