Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Adaptive Data Fusion for Air Traffic Control Surveillance
Year:2011
Research Areas
  • Aircraft operation,
  • Information technology and adata processing
Information
Abstract
This paper describes a method to enhance current surveillance systems used in air traffic control. Those systems are currently based on statistical data fusion, relying on a set of statistical models and assumptions. The proposed method allows for the on-line calibration of those models and enhanced detection of non-ideal situations, increasing surveillance products integrity. It is based on the definition of a set of observables from the fusion process and a rule based expert system with the objective to change processing order, algorithms or even remove some sensor data from the processing chain.
International
Si
Congress
Hybrid Artificial Intelligent Systems
960
Place
Wroclaw, Poland
Reviewers
Si
ISBN/ISSN
978-3-642-21221-5
10.1007/978-3-642-21222-2_15
Start Date
23/05/2011
End Date
25/05/2011
From page
118
To page
126
Hybrid Artificial Intelligent Systems 6th International Conference Proceedings, Part II
Participants
  • Autor: Juan Alberto Besada Portas (UPM)
  • Autor: Guillermo Frontera Sanchez (UPM)
  • Autor: Ana Maria Bernardos Barbolla (UPM)
  • Autor: Gonzalo C. de Miguel Vela (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Procesado de Datos y Simulación (GPDS)-CEDITEC
  • Departamento: Señales, Sistemas y Radiocomunicaciones
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