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, env...

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मुख्य लेखकों: Davey, Sam (लेखक), Gordon, Neil (लेखक), Holland, Ian (लेखक), Rutten, Mark (लेखक), Williams, Jason (लेखक)
निगमित लेखक: SpringerLink (Online service)
स्वरूप: इलेक्ट्रोनिक ई-पुस्तक
भाषा:अंग्रेज़ी
प्रकाशित: Singapore : Springer Singapore : Imprint: Springer, 2016.
श्रृंखला:SpringerBriefs in Electrical and Computer Engineering,
विषय:
ऑनलाइन पहुंच:http://dx.doi.org/10.1007/978-981-10-0379-0
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विवरण
सारांश: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.
भौतिक वर्णन:XVI, 114 p. 51 illus., 2 illus. in color. online resource.
आईएसबीएन:9789811003790
आईएसएसएन:2191-8112
डिजिटल ऑब्जेक्ट पहचानकर्ता:10.1007/978-981-10-0379-0
अभिगमन:Open Access