People | Locations | Statistics |
---|---|---|
Ziakopoulos, Apostolos | Athens |
|
Vigliani, Alessandro | Turin |
|
Catani, Jacopo | Rome |
|
Statheros, Thomas | Stevenage |
|
Utriainen, Roni | Tampere |
|
Guglieri, Giorgio | Turin |
|
Martínez Sánchez, Joaquín |
| |
Tobolar, Jakub |
| |
Volodarets, M. |
| |
Piwowar, Piotr |
| |
Tennoy, Aud | Oslo |
|
Matos, Ana Rita |
| |
Cicevic, Svetlana |
| |
Sommer, Carsten | Kassel |
|
Liu, Meiqi |
| |
Pirdavani, Ali | Hasselt |
|
Niklaß, Malte |
| |
Lima, Pedro | Braga |
|
Turunen, Anu W. |
| |
Antunes, Carlos Henggeler |
| |
Krasnov, Oleg A. |
| |
Lopes, Joao P. |
| |
Turan, Osman |
| |
Lučanin, Vojkan | Belgrade |
|
Tanaskovic, Jovan |
|
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
conferencepaper
Network-Based Ionospheric Gradient Monitoring to Support GBAS
Abstract
Ionospheric anomalies, like large ionospheric gradients, might produce a difference between the ionospheric error experienced by the Ground Based Augmentation System (GBAS) reference station and the aircraft on approach. This ionospheric delay difference could lead to hazardous position errors if undetected. For that reason, the GBAS Approach Service Types (GAST) C and D provide solutions against this threat, but the methods employed still face challenges by limiting the availability in certain cases, especially in regions with severe ionospheric conditions. This issue is caused by the use of very conservative ionospheric threat models derived based on the worst-ever-experienced ionospheric gradients in the relevant region. However, these worst-case gradients occur very rarely. Therefore, this paper proposes a methodology capable of detecting ionospheric gradients in real-time and estimating their parameters in near real-time by using a wide area network of dual-frequency and multi-constellation GNSS monitoring stations. Hence, the GBAS stations could use this information to update the threat model currently applied in their algorithms, which would result in an improvement of the GBAS availability in regions where it is degraded. The detection and estimation algorithm is initially theoretically explained. Then, the performance of this algorithm is evaluated with simulated gradients and with a real gradient, utilizing for both the real measurements recorded by a reference network in Alaska. The synthetic gradients are simulated over the nominal real measurements from this network and all the gradient parameters are modified within their ranges in the already existing threat models. In this way, we assess the performance of our algorithm by comparing the differences between the known simulated gradient parameters and the parameters estimated by our algorithm. Additionally, we also evaluate our algorithm with one real ionospheric gradient measured by the same network in Alaska to study the differences between using simulated gradients and real gradients. Results with both simulated gradients and the real gradient show the potential of our methodology to support GBAS stations by detecting and estimating the ionospheric gradients instead of using worst case models all the time.
Topics
Search in FID move catalog