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SpringerBriefs in Signal Processing
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Bayesian Methods in the Search for MH370

Authors: Davey, S., Gordon, N., Holland, I., Rutten, M., Williams, J.

  • 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
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eBook  
  • ISBN 978-981-10-0379-0
  • This book is an open access book, you can download it for free on link.springer.com
Softcover $24.99
price for USA in USD
  • ISBN 978-981-10-0378-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

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.

About the authors


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 the Bachelor of Science, Bachelor of Engineering and Master of Mathematical Science from the University of Adelaide in 1995, 1996 and 1999, respectively and a PhD from the University of Melbourne in 2005 on Multipath Tracking for Over the Horizon Radars. He has worked on data and information fusion for the Defence Science and Technology Group since 1996. His research interests include nonlinear state estimation, target tracking and multi-sensor fusion.
Jason Williams received degrees of Bachelor of Engineering in Electronics andBachelor of Information Technology from Queensland University of Technology in 1999, Master of Science in Electrical Engineering from the United States Air Force Institute of Technology in 2003, and PhD in Electrical Engineering and Computer Science from Massachusetts Institute of Technology in 2007. He worked for several years as an engineering officer in the Royal Australian Air Force, before joining Australia’s Defence Science and Technology Group in 2007. He is also an Adjunct Senior Lecturer at the University of Adelaide. His research interests include target tracking, sensor resource management, Markov random fields and convex optimisation.

Reviews

“I enjoyed every moment of reading this book, which is pedagogical, informative, and full of suspense. The writing is crisp and to the point, illustrating the depth and complexity of current aviation accident investigation techniques and the skills of the experts in this field. I advise both statisticians and aviation enthusiasts to have a look at this book … .” (P. Jouvelot, Computing Reviews, April, 2017)


Table of contents (12 chapters)

  • Introduction

    Davey, Samuel (et al.)

    Pages 1-5

  • Factual Description of Accident and Available Information

    Davey, Samuel (et al.)

    Pages 7-9

  • The Bayesian Approach

    Davey, Samuel (et al.)

    Pages 11-17

  • Aircraft Prior Based on Primary Radar Data

    Davey, Samuel (et al.)

    Pages 19-22

  • Measurement Model, Satellite Communications

    Davey, Samuel (et al.)

    Pages 23-34

Buy this book

eBook  
  • ISBN 978-981-10-0379-0
  • This book is an open access book, you can download it for free on link.springer.com
Softcover $24.99
price for USA in USD
  • ISBN 978-981-10-0378-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Bayesian Methods in the Search for MH370
Authors
Series Title
SpringerBriefs in Signal Processing
Copyright
2016
Publisher
Springer Singapore
Copyright Holder
Commonwealth of Australia
eBook ISBN
978-981-10-0379-0
DOI
10.1007/978-981-10-0379-0
Softcover ISBN
978-981-10-0378-3
Series ISSN
2196-4076
Edition Number
1
Number of Pages
XVI, 114
Number of Illustrations
49 b/w illustrations, 2 illustrations in colour
Topics