Application of Bayesian Filtering for Multipath in LDACS1-Based APNT Applications

T. Thiasiriphet, D. Shutin, N. Schnekenburger

Abstract:	The future avionic navigation system is going to rely on the GNSS in the near future. Because of the possible GNSS outage due to intentional or unintentional interference, there is a need for an alternative backup navigation system. Over the last few years, DLR have been supporting the idea of using the L-band digital aeronautical communication system type 1 (LDACS1) as an alternative ranging source for a backup to GNSS. DLR has conducted two measurement campaigns to test the LDACS1 navigation capability in 2012 and 2013. As a result of the measurement data analysis, the multipath propagation was identified as the main source of ranging error. In this paper, we propose to exploit particle filtering, which is a variant of sequential Bayesian filter for mitigating the multipath propagation in LDACS1 ranging applications. Additionally, one interpretation of a well-know Hatch filter, Doppler smoothing filter, is also applied to the raw estimates from particle filter for further improvement. The algorithm performance is demonstrated using measured signals from the measurement campaign in 2013 and the analysis of the measurement data is focused on a flight scenario with dynamic multipath propagation.
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:	3065 - 3075
Cite this article:	Thiasiriphet, T., Shutin, D., Schnekenburger, N., "Application of Bayesian Filtering for Multipath in LDACS1-Based APNT Applications," Proceedings of the 27th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2014), Tampa, Florida, September 2014, pp. 3065-3075.
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