Geodesic
Adaptive filtering of airborne gravimetry data using hidden Markov models
Vestnik Moskovskogo universiteta. Matematika, mehanika, no. 3 (2011), pp. 36-42

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The paper studies the adaptive filtering of airborne gravimetry data on a survey line, where the inhomogeneous gravity in time is induced by the unknown structure of the Earth's core, topography, etc. Gravity is modeled by a hidden Markov chain with a finite number of states, each state corresponds to a certain type of the gravity profile. The problem under study is solved with consideration of the type of noises of the global positioning system. 
@article{VMUMM_2011_3_a6,
     author = {Yu. V. Bolotin and D. R. Doroshin},
     title = {Adaptive filtering of airborne gravimetry data using hidden {Markov} models},
     journal = {Vestnik Moskovskogo universiteta. Matematika, mehanika},
     pages = {36--42},
     publisher = {mathdoc},
     number = {3},
     year = {2011},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/VMUMM_2011_3_a6/}
}
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Yu. V. Bolotin; D. R. Doroshin. Adaptive filtering of airborne gravimetry data using hidden Markov models. Vestnik Moskovskogo universiteta. Matematika, mehanika, no. 3 (2011), pp. 36-42. http://geodesic.mathdoc.fr/item/VMUMM_2011_3_a6/