Intent-based Dynamic Model Estimation for Airborne GNSS Positioning

Li Fu, Jun Zhang, and Rui Li

Abstract:	With the development of satellite technologies, global navigation satellite systems (GNSS) are playing a more and more important role in aviation applications. Normally, a GNSS receiver calculates the position solutions under the framework of the Kalman filtering (KF). However, it may bring a low-accuracy positioning result as the dynamic model of the KF can hardly reflect the motion behaviors realistically. The purpose of this paper is to develop a new airborne GNSS positioning algorithm, whose dynamics is estimated based on the flight intent information. First, the flight intent is defined as an objective to fly along the desired path to guarantee the flight safety and efficiency. Then, by modeling the spaced-based guard function and the correction action, an intent-based dynamic model is presented to describe the real flight. Finally, an efficient interacting multiple model (e-IMM) method is applied for dynamic model estimation and navigation positioning. The experimental results demonstrate the effectiveness of our proposed algorithm over the existing methods in dynamics estimation and positioning accuracy.
Published in:	Proceedings of the 27th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2014) September 8 - 12, 2014 Tampa Convention Center Tampa, Florida
Pages:	879 - 887
Cite this article:	Fu, Li, Zhang, Jun, Li, Rui, "Intent-based Dynamic Model Estimation for Airborne GNSS Positioning," Proceedings of the 27th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2014), Tampa, Florida, September 2014, pp. 879-887.
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