Bayesian Methods in the Search for MH370

Bayesian Methods in the Search for MH370

Sam Davey, Neil Gordon, Ian Holland, Mark Rutten, Jason Williams (auth.)
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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.

カテゴリー:
年:
2016
版:
1
出版社:
Springer Singapore
言語:
english
ページ:
124
ISBN 10:
9811003793
ISBN 13:
9789811003790
シリーズ:
SpringerBriefs in Electrical and Computer Engineering
ファイル:
PDF, 6.58 MB
IPFS:
CID , CID Blake2b
english, 2016
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