Bayesian Methods in the Search for MH370
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Beschreibung
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.
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 description of available data allowing readers to work out their own solutions Includes supplementary material: sn.pub/extras
Autor*in
Neil Gordon
Themen in »Bayesian Methods in the Search for MH370«
Particle Filter Satellite Communication System Burst Timing Offset (BTO) Burst Frequency Offset (BFO) Aircraft Cruise Dynamics Aircraft Maneuver Dynamics Time Series Analysis MH370 flight paths
Stimmen zu »Bayesian Methods in the Search for MH370«
“I enjoyed every moment of reading this book, which is pedagogical, informative, and full of suspense. The writing is crisp and to the point, illustrating the depth and complexity of current aviation accident investigation techniques and the skills of the experts in this field. I advise both statisticians and aviation enthusiasts to have a look at this book … .” (P. Jouvelot, Computing Reviews, April, 2017)
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