2019
Kalman Filter, Sensor Fusion, and Constrained Regression: Equivalences and Insights
NeurIPS 2019poster
The Kalman filter (KF) is one of the most widely used tools for data assimilation and sequential estimation. In this work, we show that the state estimates from the KF in a standard linear dynamical system setting are equivalent to those given by the KF in a transformed system, with infinite process…