Dynamic Airspace Control
Abstract
The Dynamic Airspace Control program will develop and demonstrate alternate means of creating the local airspace picture and dynamically managing the local airspace without requiring high power radars or communications. This capability will support the simultaneous operations and airspace deconfliction of a wide array of airborne systems, such as manned and unmanned weapons systems and non-combatant aircraft. Based on technologies developed in the Systems of Systems-Enhanced Small Units (SESU) program (budgeted in PE 0603766E/Project NET-01), Dynamic Airspace Control will consist of an artificial intelligence engine and a mix of traditional and non-traditional sensors to create the air picture. It will also leverage legacy Airspace management tools to take advantage of prior investments in technologies, such as human-machine interfaces, and to minimize the impact on training. The artificial intelligence engine will generate a real-world model enabling automated airspace deconfliction for a variety of simultaneous missions (e.g., helicopter search and rescue, fires, and surveillance with unmanned airborne vehicles). The program will use traditional and non-traditional sensors, such as flight plans, air platform self-reporting, and passive sensing in order to confirm flight plans or to detect unidentified air platforms in the airspace. Technologies from this program will transition to the Air Force.
Document Details
- Document Type
- Accomplishment
- Publication Date
- Oct 01, 2021
- Source ID
- b5beb8767289f56de5b0422fe44bc68d