Observatorio de I+D+i UPM

Descripción
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.
Internacional	Si
Nombre congreso	Hybrid Artificial Intelligent Systems
Tipo de participación	960
Lugar del congreso	Wroclaw, Poland
Revisores	Si
ISBN o ISSN	978-3-642-21221-5
DOI	10.1007/978-3-642-21222-2_15
Fecha inicio congreso	23/05/2011
Fecha fin congreso	25/05/2011
Desde la página	118
Hasta la página	126
Título de las actas	Hybrid Artificial Intelligent Systems 6th International Conference Proceedings, Part II

Esta actividad pertenece a memorias de investigación

• Autor: Juan Alberto Besada Portas (UPM)
• Autor: Guillermo Frontera Sanchez (UPM)
• Autor: Ana Maria Bernardos Barbolla (UPM)
• Autor: Gonzalo C. de Miguel Vela (UPM)

• Creador: Grupo de Investigación: Grupo de Procesado de Datos y Simulación (GPDS)-CEDITEC
• Departamento: Señales, Sistemas y Radiocomunicaciones