| People | Locations | Statistics |
|---|---|---|
| Ziakopoulos, Apostolos | Athens |
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| Vigliani, Alessandro | Turin |
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| Catani, Jacopo | Rome |
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| Statheros, Thomas | Stevenage |
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| Utriainen, Roni | Tampere |
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| Guglieri, Giorgio | Turin |
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| Martínez Sánchez, Joaquín |
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| Tobolar, Jakub |
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| Volodarets, M. |
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| Piwowar, Piotr |
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| Tennoy, Aud | Oslo |
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| Matos, Ana Rita |
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| Cicevic, Svetlana |
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| Sommer, Carsten | Kassel |
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| Liu, Meiqi |
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| Pirdavani, Ali | Hasselt |
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| Niklaß, Malte |
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| Lima, Pedro | Braga |
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| Turunen, Anu W. |
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| Antunes, Carlos Henggeler |
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| Krasnov, Oleg A. |
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| Lopes, Joao P. |
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| Turan, Osman |
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| Lučanin, Vojkan | Belgrade |
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| Tanaskovic, Jovan |
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Felux, Michael
in Cooperation with on an Cooperation-Score of 37%
Topics
- air traffic
- radar
- air traffic control
- aircraft
- data
- crowd
- sea
- ocean
- flight
- surveillance
- region
- engineering
- civil aviation
- radio equipment
- navigational satellite
- flight crew
- flight plan
- radio frequency
- radio frequency interference
- aircraft pilotage
- estimate
- safety
- altitude
- profit
- alertness
- airspace
- drone
- assessment
- airport
- positioning
- position fixing
- protection
- cat
- Ground Based Augmentation System
- vision
- filter
- rotor
- flight test
- re-procurement
- transport aircraft
- test vehicle
- waiting time
- air traffic control facility
- multipath transmission
- landing
- monitoring
- supervisor
- alarm system
- polar region
- ionosphere
- supporting
- data collection
- attention
- behavior
- definition
- male
- electromagnetic spectrum
- instrumentation
- avionics
- aviation
- interference
- correlation analysis
- downtime
- recording instrument
- picture
- prevention
- terrain
- warning system
- airline
- cockpit
- cockpit crew
- control device
- sensor
- AIDS
- satellite navigation system
- dispatcher
- air traffic controller
- broadcasting
- midair crash
- radio navigation
- experiment
- security
- instrument landing system
- simulation
- antenna
- international airport
- workload
- algorithm
- estimating
- synthetic
- communication system
- machinery
- learning
- machine learning
- employed
- face
- modernization
- wide area network
- procurement
- coding system
- expected value
- airframe
- design standard
- implementation
- committee
- prototype
- civil aircraft
- modeling
- automatic pilot
- planning
- train consist
- architecture
- standardisation
- geometry
- motivation
- recommendation
- inflation
- normal distribution
- system availability
- noise
- choke
- design
- airport runway
- reflection
- bubble
- Statistic
- validation
- electron
- airworthiness
- minimisation
- wind
- runway overrun
- deviation
- certification
- airport capacity
- trajectory
- specification
- weather condition
- measuring instrument
- visibility
- test bed
- screening
- forecasting
- infrastructure
- accumulator
- distress
- autumn
- uncertainty
- base line
- performance evaluation
- standard deviation
- hinge
- accelerometer
- inertial navigation system
- amphetamine
- show 125 more
Publications
- 2023Analysis of GNSS disruptions in European airspace
- 2022GNSS Jamming and Its Effect on Air Traffic in Eastern Europe
- 2022GBAS use cases beyond what was envisioned – drone navigation
- 2022Flight testing GBAS for UAV operations
- 2022Airborne Ionospheric Gradient Monitoring for Dual-Frequency GBAS
- 2022A standardizeable framework enabling DME/DME to support RNP
- 2022Impact of GNSS-band radio interference on operational avionics
- 2022Identification and operational impact analysis of GNSS RFI based on flight crew reports and ADS-B data
- 2022Impact of GNSS outage on mid-air collision
- 2021Flight trial demonstration of secure GBAS via the L-band digital aeronautical communications system (LDACS)citations
- 2021Final results on airborne multipath models for dualconstellation dual-frequency aviation applications
- 2021Impact of RFI on GNSS and avionics : a view from the cockpitcitations
- 2021Network-based ionospheric gradient monitoring to support GBAScitations
- 2021Flight Trial Demonstration of Secure GBAS via the L-band Digital Aeronautical Communication System (LDACS)citations
- 2020Combined Multilateration with Machine Learning for Enhanced Aircraft Localizationcitations
- 2020Network-Based Ionospheric Gradient Monitoring to Support GBAS
- 2019Towards Airborne Multipath Models for Dual Constellation and Dual Frequency GNSScitations
- 2019Initial results for dual constellation dual-frequency multipath models
- 2018Total System Performance of GBAS-based Automatic Landings ; Leistungsfähigkeit des Gesamtsystems GBAS-basierter Automatischer Landungen
- 2018Transmitting GBAS messages via LDACS
- 2018Total System Performance of GBAS-based Automatic Landings
- 2017Ionospheric Gradient Threat Mitigation in Future Dual Frequency GBAScitations
- 2017Future Dual Frequency Multi Constellation GBAS
- 2017Using a Wide Area Receiver Network to Support GBAS Ionospheric Monitoring
- 2017Future GBAS Processing - Do we need an ionosphere-free mode?
- 2016Multi-constellation GBAS: how to benefit from a second constellation
- 2015GBAS Ground Monitoring Requirements from an Airworthiness Perspectivecitations
- 2015Total System Performance in GBAS-based Landings
- 2013GBAS Approach Guidance Performance – A comparison to ILS
- 2012Approach service type D evaluation of the DLR GBAS testbedcitations
- 2012Flight Testing the GAST D Solution at DLR's GBAS Test Bed
- 2011Approach service type D evaluation of the DLR GBAS testbedcitations
- 2011Evaluation of GBAS Flight Tests with respect to GAST-D Requirements
- 2011GAST-D Monitoring Results from Post-processed Flight Trial Data - Performance Evaluation of DLR´s GBAS Testbed
- 2009A Robust and Effective GNSS/INS Integration Optimizing Cost and Effort
Places of action
thesis
Total System Performance of GBAS-based Automatic Landings
Abstract
In this work, automatic landings of aircraft based on signals from Global Navigation Satellite Systems (GNSS), augmented by a Ground Based Augmentation System (GBAS), are investigated. By taking into account available knowledge that is currently not used and a more realistic modelling of the autoland performance several suggestions for improving GBAS are made. After a short discussion of the Instrument Landing System (ILS) and GBAS a motivation for the use of GBAS is given by comparing the performance of both guidance systems in flight trials. The results show that GBAS is much less susceptible to disturbances and provides more precise and smoother guidance. The next chapter continues with a description and a discussion of the derivation of navigation requirements for GBAS from the definition of a safe landing. The total error budged has to be split between the autopilot and the navigation system. A critical review of the derivation process proposes adjustments by taking into account available knowledge about the satellite geometry in order to reduce the monitoring requirements and thus increase system availability. This discussion is followed by an investigation of the autoland performance based on one example autopilot implementation. The results show that the currently used way to model the touchdown performance by a Gaussian distribution is not well suited. Either very conservative inflation is necessary or the tail probability of landing outside the required touchdown zone may be significantly underestimated. It is therefore suggested to model the touchdown performance by a Johnson distribution, better fitting to the obtained results. Finally, the contribution of the navigation system to the total system error is discussed. As the main concern in differential navigation techniques, such as GBAS, results from ionospheric disturbances these phenomena are discussed more in detail. For the GBAS ground system an improved ionospheric monitor is proposed, based on adding an additional reference receiver for monitoring purposes. Furthermore, an ionospheric monitor for future dual-frequency GBAS modes is developed. Such a monitor is necessary if positioning is to be done based on single frequency modes, which seems to be a very likely way forward. Shifting this monitoring task to the airborne system has the advantage that all knowledge about current navigation performance and autopilot performance for that specific aircraft type can be exploited, facilitating the ionospheric monitoring task significantly.
Topics
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