TY  - BOOK
AU  - Davey,Sam
AU  - Gordon,Neil
AU  - Holland,Ian
AU  - Rutten,Mark
AU  - Williams,Jason
ED  - SpringerLink (Online service)
TI  - Bayesian Methods in the Search for MH370
T2  - SpringerBriefs in Signal Processing,
SN  - 9789811003790
AV  - TK5102.9 
U1  - 621.382 23
PY  - 2016///
CY  - Singapore
PB  - Springer Singapore, Imprint: Springer
KW  - Signal processing
KW  - Image processing
KW  - Speech processing systems
KW  - Statistics 
KW  - Probabilities
KW  - Mathematical statistics
KW  - Signal, Image and Speech Processing
KW  - Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
KW  - Probability Theory and Stochastic Processes
KW  - Probability and Statistics in Computer Science
N1  - 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; Open Access
N2  - 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
UR  - https://doi.org/10.1007/978-981-10-0379-0
ER  -