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Bayesian methods in the search for MH370

This book demonstrates how nonlinear/non-Gaussian Bayesian time series estimation methods were used to produce a probability distribution of potential MH370 flight paths. It provides details of how the probabilistic models of aircraft flight dynamics, satellite communication system measurements, env...

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Detalles Bibliográficos
Autores principales: Davey, Sam, Gordon, Neil, Holland, Ian, Rutten, Mark, Williams, Jason
Lenguaje:eng
Publicado: Springer 2016
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-981-10-0379-0
http://cds.cern.ch/record/2205616
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author Davey, Sam
Gordon, Neil
Holland, Ian
Rutten, Mark
Williams, Jason
author_facet Davey, Sam
Gordon, Neil
Holland, Ian
Rutten, Mark
Williams, Jason
author_sort Davey, Sam
collection CERN
description This book demonstrates how nonlinear/non-Gaussian Bayesian time series estimation methods were used to produce a probability distribution of potential MH370 flight paths. It provides details of how the probabilistic models of aircraft flight dynamics, satellite communication system measurements, environmental effects and radar data were constructed and calibrated. The probability distribution was used to define the search zone in the southern Indian Ocean. The book describes particle-filter based numerical calculation of the aircraft flight-path probability distribution and validates the method using data from several of the involved aircraft’s previous flights. Finally it is shown how the Reunion Island flaperon debris find affects the search probability distribution.
id cern-2205616
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2016
publisher Springer
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spelling cern-22056162021-04-21T19:33:40Zdoi:10.1007/978-981-10-0379-0http://cds.cern.ch/record/2205616engDavey, SamGordon, NeilHolland, IanRutten, MarkWilliams, JasonBayesian methods in the search for MH370EngineeringThis book demonstrates how nonlinear/non-Gaussian Bayesian time series estimation methods were used to produce a probability distribution of potential MH370 flight paths. It provides details of how the probabilistic models of aircraft flight dynamics, satellite communication system measurements, environmental effects and radar data were constructed and calibrated. The probability distribution was used to define the search zone in the southern Indian Ocean. The book describes particle-filter based numerical calculation of the aircraft flight-path probability distribution and validates the method using data from several of the involved aircraft’s previous flights. Finally it is shown how the Reunion Island flaperon debris find affects the search probability distribution.Springeroai:cds.cern.ch:22056162016
spellingShingle Engineering
Davey, Sam
Gordon, Neil
Holland, Ian
Rutten, Mark
Williams, Jason
Bayesian methods in the search for MH370
title Bayesian methods in the search for MH370
title_full Bayesian methods in the search for MH370
title_fullStr Bayesian methods in the search for MH370
title_full_unstemmed Bayesian methods in the search for MH370
title_short Bayesian methods in the search for MH370
title_sort bayesian methods in the search for mh370
topic Engineering
url https://dx.doi.org/10.1007/978-981-10-0379-0
http://cds.cern.ch/record/2205616
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AT gordonneil bayesianmethodsinthesearchformh370
AT hollandian bayesianmethodsinthesearchformh370
AT ruttenmark bayesianmethodsinthesearchformh370
AT williamsjason bayesianmethodsinthesearchformh370