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Real-time identification of guidance modes in aircraft descents using surveillace data

Author
Dalmau, R.; Perez-Batlle, M.; Prats, X.
Type of activity
Presentation of work at congresses
Name of edition
37th Digital Avionics Systems Conference
Date of publication
2018
Presentation's date
2018-09-27
Book of congress proceedings
37th DASC Digital Avionics Systems Conference: London, England, UK, September 23-27, 2018: 2018 conference proceedings
First page
1
Last page
10
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
DOI
https://doi.org/10.1109/DASC.2018.8569811 Open in new window
Repository
http://hdl.handle.net/2117/127560 Open in new window
URL
https://ieeexplore.ieee.org/document/8569811 Open in new window
Abstract
Trajectory predictors require information on the flight-intent in order to estimate the future state of the aircraft. At present, however, such information is not available or it is very limited and coarse (unless predicting the ownship trajectory). In this paper, an interacting multiple-model (IMM) algorithm is proposed to improve the accuracy of short-term trajectory predictions. The active guidance mode of an aircraft is estimated in real-time observing flight data collected only from automat...
Citation
Dalmau, R.; Perez-Batlle, M.; Prats, X. Real-time Identification of Guidance Modes in Aircraft Descents Using Surveillace Data. A: Digital Avionics Systems Conference. "37th DASC Digital Avionics Systems Conference: London, England, UK, September 23-27, 2018: 2018 conference proceedings". Institute of Electrical and Electronics Engineers (IEEE), 2018, p. 1-10.
Group of research
ICARUS - Intelligent Communications and Avionics for Robust Unmanned Aerial Systems

Participants