Based on the channel estimation Kalman filtering performance analysis

Kalman filter the optimal operation need the outside world to provide filter process noise variance Q and measurement noise variance R is accurate, otherwise Kalman gain and state estimate and parameter will not achieve their optimal value, even may cause filter divergence. This paper first shows the advantages of Kalman. And by using the experience of estimated parameter method and channel for carrier to noise ratio monitoring estimate R parameter, at The last experience estimation given R matrix Kalman filtering in the navigation positioning under application results were compared.