Exploring Probabilistic Graphical Models in a GNSS Software Receiver

Xin Zhang and Xingqun Zhan

Abstract:	A probabilistic graphical approach to the interpretation of the parameter and state estimation problems in a GNSS software receiver is proposed. This approach turns out to be universal since it can accommodate either a traditional software receiver with scalar tracking loop (STL) or one with a vector tracking loop (VTL). It even has the potential of being easily extended to a multi-sensor integration setting, which can be seen as an alternative solution to the general problems of All Source Positioning and Navigation (ASPN).
Published in:	Proceedings of the 30th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2017) September 25 - 29, 2017 Oregon Convention Center Portland, Oregon
Pages:	3593 - 3598
Cite this article:	Zhang, Xin, Zhan, Xingqun, "Exploring Probabilistic Graphical Models in a GNSS Software Receiver," Proceedings of the 30th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2017), Portland, Oregon, September 2017, pp. 3593-3598. https://doi.org/10.33012/2017.15168
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