Dynamic Model Independent Float Filter Architecture based on Triple Differences

Andreas Sasse, Ulf Bestmann, Meiko Steen, Martin Becker, and Peter Hecker

Abstract:	High precision positioning and attitude determination in satellite navigation is feasible by using the carrier phase measurements. For this the determination of the integer ambiguities is necessary. Beforehand, it is essential to estimate the float values of these ambiguities. Therefore several float filter architectures are known in literature. However all Kalman filter based approaches are using dynamic models to predict the state vector including the baseline between the user and the reference antenna. Hence the performance of those filters is directly connected to the quality of this dynamic model. In this paper a dynamic model independent float filter architecture is presented. This new approach takes advantage of the triple differenced carrier phase measurements to predict the baseline between user and reference antenna. Therefore the resulting float filter is completely independent of the vehicle dynamics. To assess the performance of the triple difference float filter versus common implementations, a high dynamic test flight using the Dornier Do128-6 research aircraft of the Institute of Flight Guidance has been conducted. The results have shown that the new approach outperforms common architectures.
Published in:	Proceedings of the 20th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2007) September 25 - 28, 2007 Fort Worth Convention Center Fort Worth, TX
Pages:	324 - 330
Cite this article:	Sasse, Andreas, Bestmann, Ulf, Steen, Meiko, Becker, Martin, Hecker, Peter, "Dynamic Model Independent Float Filter Architecture based on Triple Differences," Proceedings of the 20th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2007), Fort Worth, TX, September 2007, pp. 324-330.
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