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Real-time Identification of Guidance Modes in Aircraft Descents Using Surveillace Data

Autor
Dalmau, R.; Perez-Batlle, M.; Prats, X.
Tipus d'activitat
Presentació treball a congrés
Nom de l'edició
37th Digital Avionics Systems Conference
Any de l'edició
2018
Data de presentació
2018-09-27
Llibre d'actes
37th DASC Digital Avionics Systems Conference: London, England, UK, September 23-27, 2018: 2018 conference proceedings
Pàgina inicial
1
Pàgina final
10
Editor
Institute of Electrical and Electronics Engineers (IEEE)
DOI
https://doi.org/10.1109/DASC.2018.8569811 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/127560 Obrir en finestra nova
URL
https://ieeexplore.ieee.org/document/8569811 Obrir en finestra nova
Resum
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...
Citació
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.
Grup de recerca
ICARUS - Intelligent Communications and Avionics for Robust Unmanned Aerial Systems

Participants