Mississippi State University
Date of Degree
Original embargo terms
Graduate Thesis - Open Access
Master of Science
James Worth Bagley College of Engineering
Department of Aerospace Engineering
Unmanned Aircraft Systems (UAS) face one common challenge when integrating with the existing manned aircraft population in the National Airspace System (NAS). To unlock the full efficiency of UAS, the UAS integrator must comply with an onboard pilotâ€™s requirement to see-and-avoid other aircraft while operating. Commercially available Detect-and-Avoid (DAA) sensor technologies have been developed to attempt to comply with this requirement. UAS integrators must use these sensors to meet or exceed the performance of a human pilot. This thesis covers research done to integrate an array of commercially made DAA sensors with a large Group 3 UAS both in hardware and software that was later flight tested and evaluated for usability. A fast-time simulation is presented using the principles of the National Aeronautics and Space Administration's (NASA) Detect-and-AvoID Alerting Logic for Unmanned Systems (DAIDALUS). Last, open-source tools are presented to assist future integrators in validating their DAA solutions.
Ryker, Kyle Bradley, "Development of a detect-and-avoid sensor solution for the integration of a group 3 large unmanned aircraft system into the national airspace system" (2021). Theses and Dissertations. 5234.