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Bayesian Methods in the Search for MH370

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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.

Additional information

Book Author

Neil Gordon & Sam Davey & Ian Holland & Mark Rutten & Jason Williams

Book Series

SpringerBriefs in Electrical and Computer Engineering

Format

eBook

ISBN

9789811003783

Language

English

Pages

229

Publisher

Springer

Publication Date

2016-07-14

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