Article
Version 2
Preserved in Portico This version is not peer-reviewed
UAT ADS-B Data Anomalies and the Effect of Flight Parameters on Dropout Occurrences
Version 1
: Received: 13 April 2018 / Approved: 13 April 2018 / Online: 13 April 2018 (08:33:34 CEST)
Version 2 : Received: 28 May 2018 / Approved: 29 May 2018 / Online: 29 May 2018 (10:56:42 CEST)
Version 2 : Received: 28 May 2018 / Approved: 29 May 2018 / Online: 29 May 2018 (10:56:42 CEST)
A peer-reviewed article of this Preprint also exists.
Tabassum, A.; Semke, W. UAT ADS-B Data Anomalies and the Effect of Flight Parameters on Dropout Occurrences. Data 2018, 3, 19. Tabassum, A.; Semke, W. UAT ADS-B Data Anomalies and the Effect of Flight Parameters on Dropout Occurrences. Data 2018, 3, 19.
Abstract
An analysis of the performance of Automatic Dependent Surveillance-Broadcast (ADS-B) data received from the Grand Forks, North Dakota International Airport was carried out in this study. The purpose was to understand the vulnerabilities of Universal Access Transceiver (UAT) ADS-B system and recognize the effects on present and future Air Traffic Control (ATC) operation. The Federal Aviation Administration (FAA) mandated all the General Aviation aircraft to be equipped with ADS-B. The aircraft flying within United States and below the transition altitude (18,000 feet) are more likely to install an UAT ADS-B. At present unmanned aircraft systems (UAS) and autonomous air traffic control (ATC) towers are being integrated into the aviation industry and UAT ADS-B is a basic sensor for both class 1 and class 2 Detect and Avoid (DAA) systems. As a fundamental component of future surveillance system, the anomalies and vulnerabilities of ADS-B system need to be identified to enable a fully utilized airspace with enhanced situational awareness. The data received was archived in GDL-90 format, which was parsed into readable data. The anomaly detection of ADS-B messages was based on the FAA ADS-B performance assessment report. The data investigation revealed ADS-B message suffered from different anomalies including drop out; missing payload; data jump; low confident data and altitude discrepancy. Among those studied, the most severe was drop out and 32.49% of messages suffered from this anomaly. Dropout is an incident where ADS-B failed to update within a specified rate. Considering the potential danger being imposed, an in-depth analysis was carried out to characterize message dropout. Three flight parameters were selected to investigate their effect on drop out. Statistical analysis was carried out and Friedman Statistical Test identified that altitude affected drop out more than any other flight parameters.
Keywords
UAT ADS-B; GDL-90; anomalies; drop out; Friedman test
Subject
Engineering, Control and Systems Engineering
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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