Mosaic ATM proposes to research and develop novel capabilities for real-time 4D trajectory determination and prediction. Mosaic ATM is an industry leader in the application of advanced estimation and prediction algorithms to challenging problems in unmanned autonomous flight through informationally deprived environments. We have teamed with two leading academic institutions to provide the Navy with the most comprehensive and talented team possible. Our approach is inspired by the tremendous capabilities of interacting multiple-model (IMM) estimators and capitalizes on recent developments in the field to produce an integrated methodology for real-time 4D trajectory prediction in which threat state estimation, trajectory prediction, and uncertainty propagation emerge from a common mathematical process. We further distinguish our proposed effort by providing online estimation of error and measurement uncertainty to dynamically configure / tune aspects of the overall methodology.
Keywords: Trajectory Prediction, State Estimation, Sensor Error, Tracking, Conflict Detection, Sensor Model, Airborne Threat
