Navigation in GNSS-Denied Environments Using MEMS-Grade Sensors and Geophysical Anomalies: A Particle Filter Approach
Published in Proceedings of the ION 2026 Pacific PNT Meeting, 2026
A particle filter formulation for GNSS-denied navigation using MEMS-grade inertial sensors aided by geophysical map matching. The filter treats gravity anomaly, magnetic anomaly, and bathymetry as measurement sources against pre-existing global maps, and is evaluated on trajectories from the accompanying open MEMS navigation dataset.
Recommended citation: Brodovsky, J. and Dames, P. (2026). "Navigation in GNSS-denied Environments using MEMS-grade Sensors and Geophysical Anomalies: A Particle Filter Approach." Proceedings of the ION 2026 Pacific PNT Meeting, Honolulu, HI, pp. 399-410. https://doi.org/10.33012/2026.20618