Exploiting GNSS Array Processing to exclude Non-Line-Of-Sight Signals in a Real-Time Vector Tracking Algorithm

Philipp Rudnik, Lothar Kurz

Peer Reviewed

Abstract: This paper describes the architecture of a vector-tracking algorithm, using a real-time Global Navigation Satellite System (GNSS) array-antenna receiver, which is based on an Error-Position-State formulation as proposed in (Lashley, 2009). The tracking algorithm is tested and validated in real-time scenarios, which includes a simulative GNSS environment in the laboratory, as well as outdoor testing, whereby the functionality of the system can be determined. In order to improve the robustness of the receiver an exploitation of the Direction of Arrival (DoA) measurements is implemented, which allows the exclusion of unauthentic or unwanted signals in the Kalman Filter updating process. An error vector based on comparison and statistically testing of the measured DoAs against the expected DoAs (Meurer et al., 2016), which can be obtained by geometric calculation of the receivers position and attitude, is generated and contains information about the credibility of each tracking channel. Manipulating the measurement covariance matrix of the central navigation Kalman filter with this error vector will decrease the contribution of incredible channels not only to the Position/Velocity/Timing (PVT) solution, but also to the tracking loops, because of the vector tracking feedback.
Published in: Proceedings of the 35th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2022)
September 19 - 23, 2022
Hyatt Regency Denver
Denver, Colorado
Pages: 3541 - 3554
Cite this article: Rudnik, Philipp, Kurz, Lothar, "Exploiting GNSS Array Processing to exclude Non-Line-Of-Sight Signals in a Real-Time Vector Tracking Algorithm," Proceedings of the 35th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2022), Denver, Colorado, September 2022, pp. 3541-3554. https://doi.org/10.33012/2022.18451
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