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Unmanned Aircraft Systems (UAS) Integration in the National Airspace System (NAS) ProjectPhase 1 of the UAS-NAS (Unmanned Aircraft Systems-National Airspace System) project focused on MOPS (Minimum Operational Performance Standards) development for large UAS transitioning through Class D, E, and G airspace. Phase 2 activities are currently focused on extended UAS operations in Class D, E, and G airspace, as well as sensors and architectures that will enable DAA (Detect and Avoid) equipment to be installed on a wider range of UAS. Encounters with non-cooperative intruders in low altitude airspace under 10,000 feet will be explored for UAS with a low Size, Weight, and Power (SWaP) radar. New sensors for detecting non-cooperative intruder aircraft will have a more limited detection range and field of regard; therefore, the analysis of non-cooperative encounter geometries may help in developing the requirements for an onboard low SWaP radar (and electro-optical sensor). The current simulation, led by HSI (Human Systems Integration Division at NASA Ames Research Center) as part of the DAA subproject, will support efforts toward developing a modified DAA Well Clear (DWC) definition that would be more appropriate for UAS equipped with limited surveillance and aircraft performance capabilities compared to the Phase 1 DAA system. The findings will inform Phase 2 display requirements for alternative surveillance use cases.
Document ID
20190002000
Acquisition Source
Ames Research Center
Document Type
Presentation
Authors
Monk, Kevin J.
(NASA Ames Research Center Moffett Field, CA, United States)
Date Acquired
March 29, 2019
Publication Date
March 5, 2019
Subject Category
Aircraft Communications And Navigation
Report/Patent Number
ARC-E-DAA-TN66273
Report Number: ARC-E-DAA-TN66273
Meeting Information
Meeting: RTCA SC-228 Quarterly Face-to-Face Meeting
Location: Hood River, OR
Country: United States
Start Date: March 7, 2019
Sponsors: Radio Technical Commission for Aeronautics
Funding Number(s)
WBS: WBS 425425.04.02.01.01
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
Keywords
Collision Avoidance
Detect and Avoid
Unmanned Aircraft Systems
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