Introduction - If you have any usage issues, please Google them yourself
Kalman filtering (KF) is an algorithm for optimal estimation of system state by using linear system state equation and input and output observation data. Since the observed data include the effects of noise and interference in the system, the optimal estimation can also be considered as a filtering process.