Global RTK Positioning in Graphical State Space

نویسندگان

چکیده

This paper proposes a new method for RTK post-processing. Different from the traditional forward-backward Kalman filter, in our method, whole system equation is built on graphical state space model and solved by factor graph optimization. The position solution provided forward filter used as linearization points of model. Constant variables, such double-difference ambiguity, will exist constants model, not time-series variables. It shown experiment results that optimization with more effective than discrete-time post-processing problem.

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ژورنال

عنوان ژورنال: Proceedings of the Satellite Division's International Technical Meeting

سال: 2022

ISSN: ['2331-5911', '2331-5954']

DOI: https://doi.org/10.33012/2022.18519