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Enhanced Vertical Navigation Using Barometric Measurements
This paper introduces a technique to transform between geometric and barometric estimates of altitude and vice-versa. Leveraging forecast numerical weather models, the method is unbiased and has a vertical error with a standard deviation of around 30 m (100 ft), regardless of aircraft altitude, whic...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9735476/ https://www.ncbi.nlm.nih.gov/pubmed/36501962 http://dx.doi.org/10.3390/s22239263 |
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author | Narayanan, Shrivathsan Osechas, Okuary |
author_facet | Narayanan, Shrivathsan Osechas, Okuary |
author_sort | Narayanan, Shrivathsan |
collection | PubMed |
description | This paper introduces a technique to transform between geometric and barometric estimates of altitude and vice-versa. Leveraging forecast numerical weather models, the method is unbiased and has a vertical error with a standard deviation of around 30 m (100 ft), regardless of aircraft altitude, which makes it significantly more precise than established comparable conversion functions. This result may find application in various domains of civil aviation, including vertical RNP, systemized airspace, and automatic landing systems. |
format | Online Article Text |
id | pubmed-9735476 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-97354762022-12-11 Enhanced Vertical Navigation Using Barometric Measurements Narayanan, Shrivathsan Osechas, Okuary Sensors (Basel) Article This paper introduces a technique to transform between geometric and barometric estimates of altitude and vice-versa. Leveraging forecast numerical weather models, the method is unbiased and has a vertical error with a standard deviation of around 30 m (100 ft), regardless of aircraft altitude, which makes it significantly more precise than established comparable conversion functions. This result may find application in various domains of civil aviation, including vertical RNP, systemized airspace, and automatic landing systems. MDPI 2022-11-28 /pmc/articles/PMC9735476/ /pubmed/36501962 http://dx.doi.org/10.3390/s22239263 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Narayanan, Shrivathsan Osechas, Okuary Enhanced Vertical Navigation Using Barometric Measurements |
title | Enhanced Vertical Navigation Using Barometric Measurements |
title_full | Enhanced Vertical Navigation Using Barometric Measurements |
title_fullStr | Enhanced Vertical Navigation Using Barometric Measurements |
title_full_unstemmed | Enhanced Vertical Navigation Using Barometric Measurements |
title_short | Enhanced Vertical Navigation Using Barometric Measurements |
title_sort | enhanced vertical navigation using barometric measurements |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9735476/ https://www.ncbi.nlm.nih.gov/pubmed/36501962 http://dx.doi.org/10.3390/s22239263 |
work_keys_str_mv | AT narayananshrivathsan enhancedverticalnavigationusingbarometricmeasurements AT osechasokuary enhancedverticalnavigationusingbarometricmeasurements |