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Bayesian Methods in the Search for MH370

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Bayesian Methods in the Search for MH370 Synopsis

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.

About This Edition

ISBN: 9789811003783
Publication date: 25th July 2016
Author: Neil Gordon, Sam Davey, Ian Holland, Mark Rutten
Publisher: Springer Verlag, Singapore
Format: Paperback
Pagination: 114 pages
Series: SpringerBriefs in Electrical and Computer Engineering
Genres: Electronics engineering
Digital signal processing (DSP)
Probability and statistics
Stochastics
Maths for computer scientists