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Author Davey, Sam, author
Title Bayesian methods in the search for MH370 / by Sam Davey, Neil Gordon, Ian Holland, Mark Rutten, Jason Williams
Imprint Singapore : Springer Singapore : Imprint: Springer, 2016
book jacket
Descript 1 online resource (xvi, 114 pages) : illustrations (some color), digital ; 24 cm
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
text file PDF rda
Series SpringerBriefs in electrical and computer engineering, 2191-8112
SpringerBriefs in electrical and computer engineering
Note 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
Host Item Springer eBooks
Subject Aircraft accidents -- Investigation -- Decision making
Bayesian statistical decision theory
Malaysia Airlines Flight 370 Incident, 2014
Engineering
Signal, Image and Speech Processing
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
Probability Theory and Stochastic Processes
Probability and Statistics in Computer Science
Alt Author Gordon, Neil, author
Holland, Ian, author
Rutten, Mark, author
Williams, Jason, author
SpringerLink (Online service)
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