Designing Models for Signals and Errors of Sensors in the Airborne Gravimetry Using Nonlinear Filtering Methods

O.A. Stepanov, D.A. Koshaev, A.V. Motorin

Abstract:	The paper considers the filtering problem solved in determining gravity anomalies using airborne gravimeter data. A feature of this problem is that the valid signal is estimated in conditions of uncertain knowledge of its model and the error model of the sensors. The sensitivity of the linear filtering problem solution to the error model parameters is studied. A nonlinear filtering method, which takes into account the fact that the model parameters are not precisely known, is suggested. The results obtained within the proposed approach are given and discussed.
Published in:	Proceedings of the 2015 International Technical Meeting of The Institute of Navigation January 26 - 28, 2015 Laguna Cliffs Marriott Dana Point, California
Pages:	279 - 284
Cite this article:	Stepanov, O.A., Koshaev, D.A., Motorin, A.V., "Designing Models for Signals and Errors of Sensors in the Airborne Gravimetry Using Nonlinear Filtering Methods," Proceedings of the 2015 International Technical Meeting of The Institute of Navigation, Dana Point, California, January 2015, pp. 279-284.
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