Fast Kalman filter

The fast Kalman filter (FKF), devised by Antti Lange (born 1941), is an extension of the Helmert–Wolf blocking (HWB) method from geodesy to safety-critical real-time applications of Kalman filtering (KF) such as GNSS navigation up to the centimeter-level of accuracy and satellite imaging of the Earth including atmospheric tomography. == Motivation == Kalman filters are an important filtering technique for building fault-tolerance into a wide range of systems, including real-time imaging.

Source: Wikipedia — Fast Kalman filter (CC BY-SA 4.0)

Fast Kalman filter

The fast Kalman filter (FKF), devised by Antti Lange (born 1941), is an extension of the Helmert–Wolf blocking (HWB) method from geodesy to safety-critical real-time applications of Kalman filtering (KF) such as GNSS navigation up to the centimeter-level of accuracy and satellite imaging of the Earth including atmospheric tomography. == Motivation == Kalman filters are an important filtering technique for building fault-tolerance into a wide range of systems, including real-time imaging.

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Source: Wikipedia "Fast Kalman filter" · CC BY-SA 4.0

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