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.


    Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

    Determining Required Surveillance Performance for Unmanned Aircraft Sense and Avoid


    Contributors:

    Publication date :

    2017


    Size :

    20 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English





    Determining Required Surveillance Performance for Unmanned Aircraft Sense and Avoid (AIAA 2017-4385)

    Edwards, Matthew W. / Mackay, Justin | British Library Conference Proceedings | 2017


    Sense and avoid for unmanned aircraft systems

    Fasano, Giancarmine / Accado, Domenico / Moccia, Antonio et al. | IEEE | 2016


    Sense and Avoid for Small Unmanned Aircraft Systems

    Dolph, Chester / Logan, Michael J. / Glaab, Louis J. et al. | AIAA | 2017


    Unmanned aircraft system sense and avoid : special issue

    Johnson, Chuck ;Kuchar, James | TIBKAT | 2015