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Instruments and Systems: Monitoring, Control, and Diagnostics

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Nonlinear Filtering Methods for the State Estimation of Dynamic Systems and Applications in Navigation
SHEN XIN, V.V. LUKYANOV, K.A. NEUSYPIN, U GO

The paper investigates new nonlinear fi lters that allow for more effi cient integration of data from various types of sensors and provide better accuracy
and stability in the generation of navigation parameters with a lower computational load. The characteristics of the fi lters are investigated on the readings of a
tightly coupled integrated inertial-satellite navigation system.
Keywords: nonlinear fi ltering, extended Kalman fi lter, unscented Kalman fi lter, cubature Kalman fi lter, tightly coupled integrated navigation system.


DOI: 10.25791/pribor.3.2024.1486


Pp. 49-57.

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