Abstract: Systems are provided to increase the robustness of a low-cost GPS system by coupling it with an INS system, and by using one-satellite attitude determination in conjunction with the traditional multiple-satellite method. The system has demonstrated accuracy and robustness approaching needed standards for automobile control systems. The applications of this system are abundant, including real-time vehicle system ID, slip angle estimation, position estimation by GPS and dead reckoning, as well as sophisticated control systems.

Abstract: A dynamic wake avoidance system utilizes aircraft and atmospheric parameters readily available in flight to model and predict airborne wake vortices in real time. A novel combination of algorithms allows for a relatively simple yet robust wake model to be constructed based on information extracted from a broadcast. The system predicts the location and movement of the wake based on the nominal wake model and correspondingly performs an uncertainty analysis on the wake model to determine a wake hazard zone (no fly zone), which comprises a plurality of “wake planes,” each moving independently from another. The system selectively adjusts dimensions of each wake plane to minimize spatial and temporal uncertainty, thereby ensuring that the actual wake is within the wake hazard zone. The predicted wake hazard zone is communicated in real time directly to a user via a realistic visual representation.

Abstract: Systems are provided to increase the robustness of a low-cost GPS system by coupling it with an INS system, and by using one-satellite attitude determination in conjunction with the traditional multiple-satellite method. The system has demonstrated accuracy and robustness approaching needed standards for automobile control systems. The applications of this system are abundant, including real-time vehicle system ID, slip angle estimation, position estimation by GPS and dead reckoning, as well as sophisticated control systems.

Abstract: A dynamic wake avoidance system utilizes aircraft and atmospheric parameters readily available in flight to model and predict airborne wake vortices in real time. A novel combination of algorithms allows for a relatively simple yet robust wake model to be constructed based on information extracted from a broadcast. The system predicts the location and movement of the wake based on the nominal wake model and correspondingly performs an uncertainty analysis on the wake model to determine a wake hazard zone (no fly zone), which comprises a plurality of “wake planes,” each moving independently from another. The system selectively adjusts dimensions of each wake plane to minimize spatial and temporal uncertainty, thereby ensuring that the actual wake is within the wake hazard zone. The predicted wake hazard zone is communicated in real time directly to a user via a realistic visual representation.