Bayesian Methods in the Search for MH370 Paperback / softback
by Neil Gordon, Sam Davey, Ian Holland, Mark Rutten, Jason Williams
Part of the SpringerBriefs in Electrical and Computer Engineering series
Paperback / softback
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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.
Information
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Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Paperback / softback
- Pages:114 pages, 2 Illustrations, color; 49 Illustrations, black and white; XVI, 114 p. 51 illus., 2 illus
- Publisher:Springer Verlag, Singapore
- Publication Date:25/07/2016
- Category:
- ISBN:9789811003783
Other Formats
- EPUB from £2.84
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Paperback / softback
- Pages:114 pages, 2 Illustrations, color; 49 Illustrations, black and white; XVI, 114 p. 51 illus., 2 illus
- Publisher:Springer Verlag, Singapore
- Publication Date:25/07/2016
- Category:
- ISBN:9789811003783
