Description: Bayesian Methods in the Search for MH370 Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): Sam Davey, Neil Gordon, Ian Holland, Mark Rutten, Jason Williams Format: Paperback Publisher: Springer Verlag, Singapore, Singapore Imprint: Springer Verlag, Singapore ISBN-13: 9789811003783, 978-9811003783 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.
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Location: Aldershot
End Time: 2024-12-30T11:32:16.000Z
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Book Title: Bayesian Methods in the Search for MH370
Number of Pages: 114 Pages
Language: English
Publication Name: Bayesian Methods in the Search for Mh370
Publisher: Springer Verlag, Singapore
Publication Year: 2016
Subject: Engineering & Technology, Computer Science, Mathematics
Item Height: 235 mm
Item Weight: 2117 g
Type: Textbook
Author: Jason Williams, Sam Davey, Mark Rutten, Ian Holland, Neil Gordon
Series: Springerbriefs in Signal Processing
Item Width: 155 mm
Format: Paperback
