MASSACHUSETTS INST OF TECH LEXINGTON LEXINGTON United States
Sense and avoid is the unmanned aircraft system capability to comply with the regulatory requirement to see and avoid other aircraft. A key challenge to developing an acceptable sense and avoid system is the surveillance subsystem that must sense and track a variety of potentially threatening aircraft. Determining the required surveillance performance is not straightforward due to the complex interaction of surveillance performance with other system components to affect collision risk. This is typically accomplished using high-fidelity, fast-time, sample-based simulation that requires long development and analysis timelines, where the computational burden is high. This work provides an analytic approach to map surveillance performance to collision risk that mitigates these resource requirements in several cases. This approach is demonstrated when encountering noncooperative, or nontransponding, aircraft which is a key sense and avoid challenge because existing collision avoidance technology relies on cooperative surveillance.
17th AIAA Aviation Technology, Integration, and Operations Conference , 05 Jun 2017, 09 Jun 2017, Author's Final Manuscript.