Before revision:  We find that the performance of the extended Kalman filter with such process noise covariance update is optimal in the sense that the innovation sequence is white .
After revision:  We find that the performance of the extended Kalman filter with such process noise covariance update is optimal in the sense that the innovation sequence becomes white and in achieving balance between the mean square estimation error and parameter convergence time .