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Robust Modeling of Geodetic Altitude from Barometric Altimeter and Weather Data

Simonetti, Maximilian und Garcia Crespillo, Omar (2021) Robust Modeling of Geodetic Altitude from Barometric Altimeter and Weather Data. In: Proceedings of the 34th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2021, Seiten 1176-1189. Institute of Navigation. ION GNSS+ 2021, 2021-09-20 - 2021-09-24, St. Louis, USA. doi: 10.33012/2021.18054. ISBN 978-093640629-9. ISSN 2331-5954.

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Offizielle URL: https://www.ion.org/publications/abstract.cfm?articleID=18054

Kurzfassung

Vertical navigation is crucial for safe aircraft separation, which have been traditionally based on flight altitude levels. This altitude information is normally called standard pressure altitude since it is computed from airborne pressure measurements performed by barometers and is referenced to the International Standard Atmosphere (ISA) Mean Sea Level (MSL) isobar surface. On the other hand, robust geodetic altitude navigation is fundamental for airport nearness operations with tighter requirements and plays a key role for new applications like Urban Air Mobility (UAM). However, the deviations of standard pressure altitude from true geodetic altitude can reach up to several hundreds of meters and therefore its application is limited to relative vertical navigation. The barometric measurements can nevertheless still be used to determine geodetic altitude if additional weather information like pressure and temperature is available and some transformations are applied. This paper first presents a methodology to compute geodetic altitude from a corrected pressure altitude obtained with airborne pressure measurements and external weather data. Flight data is used to assess the achievable geodetic altitude accuracy from 20 flight hours with the German Aerospace Center (DLR) Dassault Falcon 20-ES aircraft. Second, one linear model is derived to mitigate residual errors that dependent on flight dynamics. Finally, and based on the available flight data, first robust stochastic error models are proposed to support the adoption of barometric pressure measurements for safe geodetic altitude navigation. In particular, two models are derived. The first one provides a Gaussian overbound for the computed geodetic altitude so that it can be used either directly as altitude information or in combination with other sensors in snapshot (e.g., least-squares) estimators. The second is a dynamic model that bounds the power spectral density of the error with a first-order Gauss Markov process. In this way this model can be easily incorporated in a sequential estimator, like a Kalman filter, and in combination with other sensors.

elib-URL des Eintrags:https://elib.dlr.de/144642/
Dokumentart:Konferenzbeitrag (Vortrag)
Titel:Robust Modeling of Geodetic Altitude from Barometric Altimeter and Weather Data
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Simonetti, MaximilianMaximilian.Simonetti (at) dlr.dehttps://orcid.org/0000-0002-7949-6867NICHT SPEZIFIZIERT
Garcia Crespillo, OmarOmar.GarciaCrespillo (at) dlr.dehttps://orcid.org/0000-0002-2598-7636NICHT SPEZIFIZIERT
Datum:September 2021
Erschienen in:Proceedings of the 34th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2021
Referierte Publikation:Nein
Open Access:Ja
Gold Open Access:Nein
In SCOPUS:Ja
In ISI Web of Science:Nein
DOI:10.33012/2021.18054
Seitenbereich:Seiten 1176-1189
Verlag:Institute of Navigation
ISSN:2331-5954
ISBN:978-093640629-9
Status:veröffentlicht
Stichwörter:Pressure altitude, Barometer, ECMWF, Overbounding, ERA5
Veranstaltungstitel:ION GNSS+ 2021
Veranstaltungsort:St. Louis, USA
Veranstaltungsart:internationale Konferenz
Veranstaltungsbeginn:20 September 2021
Veranstaltungsende:24 September 2021
Veranstalter :Institute of Navigation
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Luftfahrt
HGF - Programmthema:Luftverkehr und Auswirkungen
DLR - Schwerpunkt:Luftfahrt
DLR - Forschungsgebiet:L AI - Luftverkehr und Auswirkungen
DLR - Teilgebiet (Projekt, Vorhaben):L - Cybersicherheitszentrierte Kommunikation, Navigation und Überwachung
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Institut für Kommunikation und Navigation > Navigation
Hinterlegt von: Simonetti, Herr Maximilian
Hinterlegt am:10 Nov 2021 16:23
Letzte Änderung:24 Apr 2024 20:43

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