Bayesian Methods in the Search for MH370 / / by Sam Davey, Neil Gordon, Ian Holland, Mark Rutten, Jason Williams.

• Superior document: SpringerBriefs in Signal Processing,
• VerfasserIn: Davey, Sam.; Gordon, Neil.; Holland, Ian.; Rutten, Mark.; Williams, Jason.
• Place / Publishing House: Singapore : : Springer Singapore :, Imprint: Springer,, 2016.
• Year of Publication: 2016
• Edition: 1st ed. 2016.
• Language: English
• Series: SpringerBriefs in Signal Processing,
• Physical Description: 1 online resource (XVI, 114 p. 51 illus., 2 illus. in color.)

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.

Table of Contents

Introduction -- Factual Description of Accident and Available Information -- Bayesian Approach -- Inmarsat Satellite Communication System -- Aircraft Cruise Dynamics -- Aircraft Maneuver Dynamics -- Particle Filter Implementations -- Validation Experiments -- Application to MH370 Accident -- Incorporating Search Data -- Conclusions.