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  • Book
  • Open Access
  • © 2016

Bayesian Methods in the Search for MH370

Authors:

  • 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

Part of the book series: SpringerBriefs in Electrical and Computer Engineering (BRIEFSELECTRIC)

Part of the book sub series: SpringerBriefs in Signal Processing (BRIEFSSIGNAL)

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Table of contents (12 chapters)

  1. Front Matter

    Pages i-xvi
  2. Introduction

    • Samuel Davey, Neil Gordon, Ian Holland, Mark Rutten, Jason Williams
    Pages 1-5Open Access
  3. Factual Description of Accident and Available Information

    • Samuel Davey, Neil Gordon, Ian Holland, Mark Rutten, Jason Williams
    Pages 7-9Open Access
  4. The Bayesian Approach

    • Samuel Davey, Neil Gordon, Ian Holland, Mark Rutten, Jason Williams
    Pages 11-17Open Access
  5. Aircraft Prior Based on Primary Radar Data

    • Samuel Davey, Neil Gordon, Ian Holland, Mark Rutten, Jason Williams
    Pages 19-22Open Access
  6. Measurement Model, Satellite Communications

    • Samuel Davey, Neil Gordon, Ian Holland, Mark Rutten, Jason Williams
    Pages 23-34Open Access
  7. Aircraft Cruise Dynamics

    • Samuel Davey, Neil Gordon, Ian Holland, Mark Rutten, Jason Williams
    Pages 35-46Open Access
  8. Aircraft Manoeuvre Dynamics

    • Samuel Davey, Neil Gordon, Ian Holland, Mark Rutten, Jason Williams
    Pages 47-54Open Access
  9. Particle Filter Implementation

    • Samuel Davey, Neil Gordon, Ian Holland, Mark Rutten, Jason Williams
    Pages 55-61Open Access
  10. Validation Experiments

    • Samuel Davey, Neil Gordon, Ian Holland, Mark Rutten, Jason Williams
    Pages 63-86Open Access
  11. Application to the MH370 Accident

    • Samuel Davey, Neil Gordon, Ian Holland, Mark Rutten, Jason Williams
    Pages 87-100Open Access
  12. Ongoing Refinement

    • Samuel Davey, Neil Gordon, Ian Holland, Mark Rutten, Jason Williams
    Pages 101-109Open Access
  13. Conclusions

    • Samuel Davey, Neil Gordon, Ian Holland, Mark Rutten, Jason Williams
    Pages 111-111Open Access
  14. Back Matter

    Pages 113-114

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.

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)

Authors and Affiliations

  • Defence Science and Technology Group, National Security and ISR Division, Edinburgh, Australia

    Sam Davey, Neil Gordon, Ian Holland, Mark Rutten, Jason Williams

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 and
Bachelor 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.

Bibliographic Information

Buy it now

Buying options

Softcover Book USD 24.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access