Bayesian Methods in the Search for MH370
by Sam Davey, Neil Gordon, Ian Holland, Mark Rutten, Jason Williams
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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. 
Book 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.
This open book is licensed under a Creative Commons License (CC BY-NC). You can download Bayesian Methods in the Search for MH370 ebook for free in PDF format (6.7 MB).
Book Details
Title
Bayesian Methods in the Search for MH370
Subject
Engineering and Technology
Publisher
Springer
Published
2016
Pages
124
Edition
1
Language
English
ISBN13
9789811003783
ISBN10
9811003785
ISBN13 Digital
9789811003790
ISBN10 Digital
9811003793
PDF Size
6.7 MB
License
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