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.
We use the following formulas for matrix and vector differentiation
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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.