Solution Separation-based FD to Mitigate the Effects of Local Threats on PPP Integrity

Juan Blanch, Todd Walter, Laura Norman, Kazuma Gunning, Lance de Groot

Abstract: In order to obtain protection levels for PPP in multipath prone environments, we formulate a coarse threat model for urban and suburban environments. Based on this threat model, we determine analytically the limitations a of solution separation approach. In particular, we derive for which range of fault rates and fault lag this approach is likely to be feasible. We then describe a solution separation fault detection algorithm adapted to this threat model. Using data collected in urban and suburban environments, we evaluate the benefits of using up to 3 GNSS constellations and dual frequency in PPP combined with an FD algorithm based on solution separation, and in particular its ability to protect against measurement outliers.
Published in: 2020 IEEE/ION Position, Location and Navigation Symposium (PLANS)
April 20 - 23, 2020
Hilton Portland Downtown
Portland, Oregon
Pages: 1085 - 1092
Cite this article: Blanch, Juan, Walter, Todd, Norman, Laura, Gunning, Kazuma, de Groot, Lance, "Solution Separation-based FD to Mitigate the Effects of Local Threats on PPP Integrity," 2020 IEEE/ION Position, Location and Navigation Symposium (PLANS), Portland, Oregon, April 2020, pp. 1085-1092.
Full Paper: ION Members/Non-Members: 1 Download Credit
Sign In