Trajectory Tracking in Boost Phase Based on Unscented Kalman Filter

This paper introduces Unscented Kalman Filtering(UKF) into trajectory tracking in boost phase.UKF is approximate to the state vector's probability density function(PDF) by making the distribution and the power of sampling point approaching transformed parameters' moment,and it is a nonlinear filter framed by the standard Kalman filter.In practice,UKF has great convenience in calculating,because it does not have to get the complicated Jacobian matrix which cannot be avoided in the ordinary Extended Kalman Filtering(EKF),and it does good performance at the trajectory tracking.