Adding a drift term that enforces known spatial boundaries to an underdamped Langevin movement model improves the accuracy of Kalman and particle filters applied to noisy animal telemetry data.
Th´ eo Michelot, Richard Glennie, Catriona Harris, and Len Thomas
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Spatial constraints improve filtering of measurement noise from animal tracks
Adding a drift term that enforces known spatial boundaries to an underdamped Langevin movement model improves the accuracy of Kalman and particle filters applied to noisy animal telemetry data.