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Remote ID for Rapid Assessment of Flight and Vehicle InformationThe ability to rapidly identify UAS in the field has emerged as a critical need for the integration of small UASs into the national airspace and counter-uas operations. This paper proposes an architecture for rapid retrieval of UAS information leveraging NASA's current Unmanned Aircraft System (UAS) Traffic Management (UTM) system. The proposed architecture utilizes UTM components: FIMS (Flight Information Management System), USS (UAS Service Supplier), and vehicle registration and model database in order to provide assessment of the UAS reported in the field including the ability to distinguish between participating and non- participating UTM actors. Detailed system descriptions are provided and preliminary results from field tests conducted during UTM TCL (Technical Capability Level) 3 are discussed. It is found that 94% of the remote ID look-ups were successful. The average time of a look-up is found to be 1.2 seconds. Failure cases are examined and recommendations on next steps to advance UAS remote identification are provided.
Document ID
20190027653
Acquisition Source
Ames Research Center
Document Type
Presentation
Authors
Ishihara, Abraham K.
(Stinger Ghaffarian Technologies Inc. (SGT Inc.) Moffett Field, CA, United States)
Rios, Joseph
(NASA Ames Research Center Moffett Field, CA, United States)
Venkatesan, Priya
(Stinger Ghaffarian Technologies Inc. (SGT Inc.) Moffett Field, CA, United States)
Date Acquired
July 24, 2019
Publication Date
January 7, 2019
Subject Category
Aircraft Communications And Navigation
Report/Patent Number
ARC-E-DAA-TN64730
Report Number: ARC-E-DAA-TN64730
Meeting Information
Meeting: AIAA SciTech Forum
Location: San Diego, CA
Country: United States
Start Date: January 7, 2019
End Date: January 11, 2019
Sponsors: American Institute of Aeronautics and Astronautics (AIAA)
Funding Number(s)
CONTRACT_GRANT: NNA14AA60C
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
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