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Investigating Detect-and-Avoid Surveillance Performance for Unmanned Aircraft SystemsMost unmanned aircraft systems will be required to be equipped with a Detect-and-Avoid (DAA) system with a surveillance component. The surveillance performance requirements of the DAA system to detect and track intruder aircraft will depend on the encounter geometries that unmanned aircraft are expected to have with other aircraft in the airspace. This presentation shows the analysis of the encounter geometries that were simulated using historical low-altitude traffic data and some proposed UAS missions. This analysis suggests how the overall safety and performance of a surveillance system may relate to surveillance parameters such as surveillance range, horizontal and vertical fields or regard. This study proposed and investigated potential safety and performance metrics for evaluating the performance of a surveillance system, such as the ratio of undetected and late-detected separation violations, and the time to violation at first detection for given sets of surveillance parameters.
Document ID
20190025424
Acquisition Source
Ames Research Center
Document Type
Presentation
Authors
Park, Chunki
(California Univ. Santa Cruz, CA, United States)
Lee, Seung Man
(California Univ. Santa Cruz, CA, United States)
Mueller, Eric Richard
(NASA Ames Research Center Moffett Field, CA, United States)
Date Acquired
May 31, 2019
Publication Date
August 25, 2014
Subject Category
Aircraft Design, Testing And Performance
Aircraft Communications And Navigation
Report/Patent Number
ARC-E-DAA-TN17214
Report Number: ARC-E-DAA-TN17214
Meeting Information
Meeting: RTCA SC-228 Meeting
Location: Washington, DC
Country: United States
Start Date: August 25, 2014
End Date: August 28, 2014
Sponsors: Radio Technical Commission for Aeronautics
Funding Number(s)
CONTRACT_GRANT: NAS2-03144
WBS: 425425
Distribution Limits
Public
Copyright
Public Use Permitted.
Technical Review
NASA Technical Management
Keywords
UAS
Detect-and-Avoid Survelliance Systems
MOPS
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