Titlebook: Bayesian Methods in the Search for MH370; Sam Davey,Neil Gordon,Jason Williams Book‘‘‘‘‘‘‘‘ 2016 Commonwealth of Australia 2016 Particle F

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Rolf Wiedemann,Petra Badke-SchaubThe Bayesian filter discussed in Chap.?. relies on knowledge of three probability density functions: the state prior distribution, the state stochastic model, and the measurement conditional probability density.

裝勇敢地做

Milit?r: Handeln in komplexen ProblemlagenThe final piece of the Bayesian filter is the dynamics model. In object tracking, it is common to model either the velocity or the acceleration of the object as a random walk in two or three dimensions (e.g., [7]).

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https://doi.org/10.1007/978-981-19-8832-5The variable rate model developed for MH370 was validated by analysing data from a collection of flights where the true aircraft location was known; we refer to these as validation flights. A total of six validation flights were used for testing.

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https://doi.org/10.1007/978-981-19-8832-5The previous chapters have constructed a Bayesian method for estimating commercial aircraft trajectories using models of the information contained in satellite communications messages and of the aircraft dynamics. This chapter applies the estimator to the accident flight.

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