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Bayesian Methods in the Search for MH370, 1st ed. 2016 SpringerBriefs in Signal Processing Series

Langue : Anglais

Auteurs :

Couverture de l’ouvrage Bayesian Methods in the Search for MH370

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.


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.


Samuel Davey received the Bachelor of Engineering, Master of Mathematical Science and PhD degrees from the University of Adelaide, Australia, in 1996, 1999, and 2003, respectively. Since 1995 he has worked for the Defence Science and Technology Group, Australia, in the areas of target tracking, tracker performance assessment, and multi-sensor fusion. He is a Visiting Research Fellow at the University of Adelaide and a Senior Member of the IEEE.

Neil Gordon received a PhD in Statistics from Imperial College London in 1993. He was with the Defence Evaluation and Research Agency in the UK until 2002 working on missile guidance and statistical data processing. He is best known for initiating the particle filter approach to nonlinear, non-Gaussian dynamic estimation which is now in widespread use throughout the world in many diverse disciplines. He is the co-author/co-editor of two books on particle filtering. In 2002 he moved to the Defence Science and Technology Group in Adelaide, Australia where he is currently head of Data and Information Fusion. In 2014 he became an Honorary Professor with the School of Information Technology and Electrical Engineering at the University of Queensland. He is a Senior Member of the IEEE.

Ian Holland received the Bachelor of Electronic and Communication Engineering in 2000 and a PhD in wireless telecommunications in 2005, both from Curtin University of Technology, Western Australia. Since then he has held positions in the University of Western Australia, the Institute for Telecommunications Research at the University of South Australia, EMS Satcom Pacific and Lockheed Martin Australia. Since January 2011, Ian has been working as a Research Scientist in Protected Satellite Communications at the Defence Science and Technology Group.

Mark Rutten received th
Presents a unique insight into the Bayesian calculation of the search zone for MH370 Written by members of the MH370 search team Contains a tutorial description of available data allowing readers to work out their own solutions Includes supplementary material: sn.pub/extras

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