Accession Number:

AD1062169

Title:

Determining Required Surveillance Performance for Unmanned Aircraft Sense and Avoid

Descriptive Note:

Conference Paper

Corporate Author:

MASSACHUSETTS INST OF TECH LEXINGTON LEXINGTON United States

Personal Author(s):

• Edwards,Matthew W.
• Mackay,Justin K.

Report Date:

2017-06-05

Pagination or Media Count:

20.0

Abstract:

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.

Descriptors:

• unmanned aerial vehicles
• sense and avoid systems
• mid air collisions
• risk
• collision avoidance
• collision avoidance systems
• surveillance
• simulations
• tracking
• FLIGHT MANEUVERS
• monte carlo method
• navigation
• accuracy

Subject Categories:

• Pilotless Aircraft
• Flight Control and Instrumentation

Distribution Statement:

APPROVED FOR PUBLIC RELEASE