Tracking Meteoroids in the Atmosphere: Fireball Trajectory Analysis
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This thesis improves and develops algorithms for fireball trajectory analysis. Stochastic estimators outside the current field of fireball modelling have been applied, from Kalman filters to 3D particle filters. These techniques are fully automated and rigorously incorporate errors, providing a means to routinely analyse fireball data in an unbiased manner.
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Howie, R.; Paxman, J.; Bland, Phil; C Towner, M.; Cupak, M.; Sansom, E.; Devillepoix, H.A.R. (2017)The expansion of the Australian Desert Fireball Network has been enabled by the development of a new digital fireball observatory based around a consumer digital camera. The observatories are more practical and much more ...
Bland, Phil; Spurný, P.; Bevan, A.; Howard, K.; Towner, Martin; Benedix, Gretchen; Greenwood, R.; Shrbený, L.; Franchi, I.; Deacon, G.; Borovicka, J.; Ceplecha, Z.; Vaughan, D.; Hough, R. (2012)Through an international collaboration between Imperial College London, the Ondrejov Observatory in the Czech Republic and the Western Australian Museum, the installation of the Australian Desert Fireball Network in the ...
Sansom, E.; Bland, Phil; Rutten, M.; Paxman, J.; Towner, M. (2016)© 2016. The American Astronomical Society. All rights reserved.Estimator algorithms are immensely versatile and powerful tools that can be applied to any problem where a dynamic system can be modeled by a set of equations ...