Study of ADS-B Data Evaluation

Zhang, Jun; Liu, Wei; Zhu, Yanbo

doi:10.1016/s1000-9361(11)60053-8

Cited by 40 publications

(28 citation statements)

References 3 publications

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“…Several studies in Europe and Asia have reported frequently occurring ADS-B position errors reaching up to 7.5 nm (Ali et al 2013;Smith and Cassell 2006;Zhang et al 2011). The main causes for ADS-B not meeting their performance standards are: (1) frequency congestion due to other avionics using the same 1090-MHz frequency spectrum, (2) delays in the broadcasted messages and (3) missed update cycles, resulting mostly in in-trail position errors.…”

Section: Information Requirements and Error Propagationmentioning

confidence: 99%

“…On the one hand, it has been shown that ADS-B accuracy is already sufficient enough to meet separation standards and thus could eventually replace current radar technology (e.g., Jones 2003). On the other hand, several studies indicated that offsets between radar and ADS-B position reports could reach up to 7.5 nautical miles (Ali et al 2013;Zhang et al 2011;Smith and Cassell 2006). Despite the fact that continuous efforts are being undertaken by the ATM community to improve the quality of ADS-B reports, such position offsets do provide an interesting case study for fault detection and diagnosis in an airspace where ADS-B technology is used to augment radar data with auxiliary aircraft data, such as the planned waypoint(s), estimated time of arrival, GPS and/or inertial navigation system positions and indicated air speed.…”

Section: Introductionmentioning

confidence: 99%

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Ecological interface design: supporting fault diagnosis of automated advice in a supervisory air traffic control task

2017

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Future air traffic control will have to rely on more advanced automation to support human controllers in their job of safely handling increased traffic volumes. A prerequisite for the success of such automation is that the data driving it are reliable. Current technology, however, still warrants human supervision in coping with (data) uncertainties and consequently in judging the quality and validity of machine decisions. In this study, ecological interface design was used to assist controllers in fault diagnosis of automated advice, using a prototype ecological interface (called the solution space diagram) for tactical conflict detection and resolution in the horizontal plane.Results from a human-in-the-loop simulation, in which sixteen participants were tasked with monitoring automation and intervening whenever required or desired, revealed a significant improvement in fault detection and diagnosis in a complex traffic scenario. Additionally, the experiment also exposed interesting interaction patterns between the participants and the advisory system, which seemed unrelated to the fault diagnosis task. Here, the explicit meansends links appeared to have affected participants' control strategy, which was geared toward taking over control from automation, regardless of the fault condition. This result suggests that in realizing effective human-automation teamwork, finding the right balance between offering more insight (e.g., through ecological interfaces) and striving for compliance with single (machine) advice is an avenue worth exploring further.

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Section: Information Requirements and Error Propagationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Ecological interface design: supporting fault diagnosis of automated advice in a supervisory air traffic control task

2017

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“…ADS-B is a next-generation air surveillance system that will supplant and complement conventional radar, since conventional air traffic management radar systems will reach their limits soon owing to the increases in air traffic. According to recent studies, the position accuracy of conventional radar is 200 m. However, ADS-B achieves a position accuracy of 33 m [17]. Nevertheless, although ADS-B has better position accuracy, it includes errors from the GNSS since the position information of the aircraft relies completely on the GNSS [18].…”

Section: Related Workmentioning

confidence: 99%

Multi-Sensor Fusion with Interacting Multiple Model Filter for Improved Aircraft Position Accuracy

Cho

Lee

Choi

2013

Sensors

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The International Civil Aviation Organization (ICAO) has decided to adopt Communications, Navigation, and Surveillance/Air Traffic Management (CNS/ATM) as the 21st century standard for navigation. Accordingly, ICAO members have provided an impetus to develop related technology and build sufficient infrastructure. For aviation surveillance with CNS/ATM, Ground-Based Augmentation System (GBAS), Automatic Dependent Surveillance-Broadcast (ADS-B), multilateration (MLAT) and wide-area multilateration (WAM) systems are being established. These sensors can track aircraft positions more accurately than existing radar and can compensate for the blind spots in aircraft surveillance. In this paper, we applied a novel sensor fusion method with Interacting Multiple Model (IMM) filter to GBAS, ADS-B, MLAT, and WAM data in order to improve the reliability of the aircraft position. Results of performance analysis show that the position accuracy is improved by the proposed sensor fusion method with the IMM filter.

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“…Studies have been conducted in Europe analyzing the performance of ADS-B ground station data [17]. Integrity and accuracy analyses were also conducted in China [18]. Other studies have been done on the fusion and comparison of ADS-B and radar data [19,20].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Radar and ADS-B Influences on Aircraft Detect and Avoid (DAA) Systems

et al. 2017

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Detect and Avoid (DAA) systems are complex communication and locational technologies comprising multiple independent components. DAA technologies support communications between ground-based and space-based operations with aircraft. Both manned and unmanned aircraft systems (UAS) rely on DAA communication and location technologies for safe flight operations. We examined the occurrence and duration of communication losses between radar and automatic dependent surveillance-broadcast (ADS-B) systems with aircraft operating in proximate airspace using data collected during actual flight operations. Our objectives were to identify the number and duration of communication losses for both radar and ADS-B systems that occurred within a discrete time period. We also investigated whether other unique communication behavior and anomalies were occurring, such as reported elevation deviations. We found that loss of communication with both radar and ADS-B systems does occur, with variation in the length of communication losses. We also discovered that other unexpected behaviors were occurring with communications. Although our data were gathered from manned aircraft, there are also implications for UAS that are operating within active airspaces. We are unaware of any previously published work on occurrence and duration of communication losses between radar and ADS-B systems.

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Study of ADS-B Data Evaluation

Cited by 40 publications

References 3 publications

Ecological interface design: supporting fault diagnosis of automated advice in a supervisory air traffic control task

Ecological interface design: supporting fault diagnosis of automated advice in a supervisory air traffic control task

Multi-Sensor Fusion with Interacting Multiple Model Filter for Improved Aircraft Position Accuracy

Analysis of Radar and ADS-B Influences on Aircraft Detect and Avoid (DAA) Systems

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