Since its inception in the 1960s, the Kalman filter has been commonly used to this day for guidance and navigation applications. It has undergone many adjustments designed to improve upon the basic implementation, such as the extended and unscented Kalman filter. In recent years, however, a new approach to filtering based on artificial neural network (ANN) processing has made significant breakthroughs that have pushed the inertial navigation industry into a new era.
