Using aircraft as wind sensors for estimating accurate wind fields for air traffic management applications

Hernando Guadaño, María Laura ORCID: https://orcid.org/0000-0002-9285-5414, Arnaldo Valdes, Rosa Maria ORCID: https://orcid.org/0000-0001-6639-6819 and Saez Nieto, Francisco Javier (2014). Using aircraft as wind sensors for estimating accurate wind fields for air traffic management applications. "Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering", v. 288 (n. 4); pp. 2681-2694. ISSN 0954-4100. https://doi.org/10.1177/0954410014524741.

Descripción

Título: Using aircraft as wind sensors for estimating accurate wind fields for air traffic management applications
Autor/es:
Tipo de Documento: Artículo
Título de Revista/Publicación: Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering
Fecha: 2014
ISSN: 0954-4100
Volumen: 288
Número: 4
Materias:
ODS:
Escuela: E.T.S. de Ingeniería Aeronáutica y del Espacio (UPM)
Departamento: Sistemas Aeroespaciales, Transporte Aéreo y Aeropuertos
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

A study which examines the use of aircraft as wind sensors in a terminal area for real-time wind estimation in order to improve aircraft trajectory prediction is presented in this paper. We describe not only different sources in the aircraft systems that provide the variables needed to derivate the wind velocity but the capabilities which allow us to present this information for ATM Applications. Based on wind speed samples from aircraft landing at Madrid-Barajas airport, a real-time wind field will be estimated using a data processing approach through a minimum variance method. Finally the accuracy of this procedure will be evaluated for this information to be useful to Air Traffic Control.

Más información

ID de Registro: 36006
Identificador DC: https://oa.upm.es/36006/
Identificador OAI: oai:oa.upm.es:36006
URL Portal Científico: https://portalcientifico.upm.es/es/ipublic/item/5490815
Identificador DOI: 10.1177/0954410014524741
URL Oficial: http://pig.sagepub.com/content/228/14/2681.abstrac...
Depositado por: Memoria Investigacion
Depositado el: 15 Feb 2016 13:08
Ultima Modificación: 12 Nov 2025 00:00