People | Locations | Statistics |
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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%
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Publications (35/35 displayed)
- 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
Towards Airborne Multipath Models for Dual Constellation and Dual Frequency GNSS
Abstract
This paper presents the initial results of an effort to develop and establish airborne multipath models for the GPS and Galileo L1/E1 and L5/E5a signals. These models will be used in dual frequency and multi constellation aeronautical navigation techniques, such as ARAIM, SBAS and GBAS. Development of the models is based on electromagnetic simulations and a large-scale data collection campaign on a variety of different airframes. In this work, results of the evaluation of the first batch of about 200 hours of flight test data with experimental equipment are shown. At a later stage, more data with avionics hardware will be collected and evaluated. This paper mainly aims at establishing the methodology and obtaining initial results as a first indication. For this purpose flight data is analyzed for periods where satellites are tracked continuously. Then, the carrier phase measurements are subtracted from the code measurements, the ionospheric divergence is removed and the bias introduced by the carrier phase ambiguities is removed. Finally, all the data is sorted, overbounded and inflated to account for the limited number of samples. The methodology also includes the removal of code errors induced by the antenna group delay, as these are suggested to be treated separately from the multipath errors. The absolute values of the bounds for GPS L1 and Galileo E1 are larger than the existing GPS L1 model. This could be expected when being conservative at each step of the evaluation process and when using experimental hardware that is not entirely compliant with current minimum performance standards for airborne equipment. Without the conservatisms applied, the observed errors are below the Airborne Accuracy Designator (AAD A) curve. The level of residual multipath on L5/E5a is significantly smaller than that on L1/E1 and the model for the ionosphere free combination is significantly larger than the bound on L1/E1. Both these properties found in our experimental results match with theoretical expectation.
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