Bayesian Methods in the Search for MH370
Bayesian Methods in the Search for MH370 by Davey, S., Gordon, N., Holland, I., Rutten, M., Williams, J. (Author)
114 pages | Springer (August 16, 2016) | 9811003785 | PDF | 6.6 Mb

Presents a unique insight into the Bayesian calculation of the search zone for MH370
Written by members of the MH370 search team
Contains a tutorial descrion of available data allowing readers to work out their own solutions.
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
Number of Illustrations and Tables
49 b/w illustrations, 2 illustrations in colour
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
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