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Bayesian Methods in the Search for MH370
~
Williams, Jason.
Bayesian Methods in the Search for MH370
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Bayesian Methods in the Search for MH370/ by Sam Davey, Neil Gordon, Ian Holland, Mark Rutten, Jason Williams.
Author:
Davey, Sam.
other author:
Gordon, Neil.
Description:
XVI, 114 p. 51 illus., 2 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Signal processing. -
Online resource:
https://doi.org/10.1007/978-981-10-0379-0
ISBN:
9789811003790
Bayesian Methods in the Search for MH370
Davey, Sam.
Bayesian Methods in the Search for MH370
[electronic resource] /by Sam Davey, Neil Gordon, Ian Holland, Mark Rutten, Jason Williams. - 1st ed. 2016. - XVI, 114 p. 51 illus., 2 illus. in color.online resource. - SpringerBriefs in Signal Processing,2196-4076. - SpringerBriefs in Signal Processing,.
Introduction -- Factual Description of Accident and Available Information -- Bayesian Approach -- Inmarsat Satellite Communication System -- Aircraft Cruise Dynamics -- Aircraft Maneuver Dynamics -- Particle Filter Implementations -- Validation Experiments -- Application to MH370 Accident -- Incorporating Search Data -- Conclusions.
Open Access
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.
ISBN: 9789811003790
Standard No.: 10.1007/978-981-10-0379-0doiSubjects--Topical Terms:
561459
Signal processing.
LC Class. No.: TK5102.9
Dewey Class. No.: 621.382
Bayesian Methods in the Search for MH370
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Introduction -- Factual Description of Accident and Available Information -- Bayesian Approach -- Inmarsat Satellite Communication System -- Aircraft Cruise Dynamics -- Aircraft Maneuver Dynamics -- Particle Filter Implementations -- Validation Experiments -- Application to MH370 Accident -- Incorporating Search Data -- Conclusions.
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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.
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Engineering (R0) (SpringerNature-43712)
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