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Bayesian Methods in the Search for MH370

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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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Availability

Detail Information

Series Title

SpringerBriefs in Electrical and Computer Engineering (BRIEFSELECTRIC)

Call Number

510 DAV b

Publisher

Singapore : Springer Singapore., 2016

Collation

XVI, 114

Language

English

ISBN/ISSN

978-981-10-0379-0

Classification

510

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

-

Subject(s)

Signal

Specific Detail Info

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Statement of Responsibility

Sam Davey ... [dan 4 pengarang lainnya]

Other Information

Cataloger

-

Source

-

Validator

Maya

Digital Object Identifier (DOI)

https://doi.org/10.1007/978-981-10-0379-0

Journal Volume

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Journal Issue

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Subtitle

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Parallel Title

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