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NAS-Wide Fast-Time Simulation Study for Evaluating Performance of UAS Detect-and-Avoid Alerting and Guidance SystemsThis presentation contains the analysis results of NAS-wide fast-time simulations with UAS and VFR traffic for a single day for evaluating the performance of Detect-and-Avoid (DAA) alerting and guidance systems. This purpose of this study was to help refine and validate MOPS alerting and guidance requirements. In this study, we generated plots of all performance metrics that are specified by RTCA SC-228 Minimum Operational Performance Standards (MOPS): 1) to evaluate the sensitivity of alerting parameters on the performance metrics of each DAA alert type: Preventive, Corrective, and Warning alerts and 2) to evaluate the effect of sensor uncertainty on DAA alerting and guidance performance.
Document ID
20170009811
Acquisition Source
Ames Research Center
Document Type
Presentation
Authors
Lee, Seung Man
(Universities Space Research Association Moffett Field, CA, United States)
Park, Chunki
(Universities Space Research Association Moffett Field, CA, United States)
Cone, Andrew Clayton
(NASA Ames Research Center Moffett Field, CA, United States)
Thipphavong, David P.
(NASA Ames Research Center Moffett Field, CA, United States)
Santiago, Confesor
(NASA Ames Research Center Moffett Field, CA, United States)
Date Acquired
October 11, 2017
Publication Date
December 20, 2016
Subject Category
Air Transportation And Safety
Report/Patent Number
ARC-E-DAA-TN38351
Report Number: ARC-E-DAA-TN38351
Funding Number(s)
CONTRACT_GRANT: NNA16BD14C
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
DAA Alerting Performance
Detect-And-Avoid (DAA) Alerting and guidance systems
UAS
NAS-wide simulations
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