Abstract:
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, navigation solution.
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