Reducing Computational Load in Solution Separation for Kalman Filters and an Application to PPP Integrity

Juan Blanch, Kaz Gunning, Todd Walter, Lance De Groot, Laura Norman

Peer Reviewed

Abstract:	This paper investigates two techniques to reduce the computational load of running multiple fault tolerant Kalman filters in order to provide integrity. These approaches are then exploited in the implementation of a solution separation integrity monitoring algorithm in a PPP Kalman filter solution. We evaluate the techniques using GNSS data collected in static and driving conditions. In our scenarios, these techniques lead to computational load reductions of at least 70% at the expense of protection level degradations of about 50%.
Published in:	Proceedings of the 2019 International Technical Meeting of The Institute of Navigation January 28 - 31, 2019 Hyatt Regency Reston Reston, Virginia
Pages:	720 - 729
Cite this article:	Blanch, Juan, Gunning, Kaz, Walter, Todd, De Groot, Lance, Norman, Laura, "Reducing Computational Load in Solution Separation for Kalman Filters and an Application to PPP Integrity," Proceedings of the 2019 International Technical Meeting of The Institute of Navigation, Reston, Virginia, January 2019, pp. 720-729. https://doi.org/10.33012/2019.16721
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