Geodesic
Integration of data from inertial, barometric, magnetometric and satellite navigation systems
Problemy fiziki, matematiki i tehniki, no. 1 (2020), pp. 45-49

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The use of a two-stage Kalman filter scheme for integrating data from autonomous and satellite navigation systems is considered. This allows us to solve the problem of different data update rates in autonomous and satellite navigation systems, as well as to obtain an optimal estimate of the state of a dynamic system based on measurements that inevitably contain errors.
Keywords: inertial-satellite navigation systems, Kalman filter, data stream aggregation
Mots-clés : navigation solution. 
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     author = {K. V. Kozadaev},
     title = {Integration of data from inertial, barometric, magnetometric and satellite navigation systems},
     journal = {Problemy fiziki, matematiki i tehniki},
     pages = {45--49},
     publisher = {mathdoc},
     number = {1},
     year = {2020},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/PFMT_2020_1_a5/}
}
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K. V. Kozadaev. Integration of data from inertial, barometric, magnetometric and satellite navigation systems. Problemy fiziki, matematiki i tehniki, no. 1 (2020), pp. 45-49. http://geodesic.mathdoc.fr/item/PFMT_2020_1_a5/