A method of identifying rocket trajectory parameters based on Generalized Kalman attenuating memory algorithm

To solve the problem of divergent in Kalman filtering, a method of identifying trajectory parameter based on generalized Kalman attenuating memory algorithm is presented. In the same time, through the mass center of projectile motion model of cannonball and rocket and the data of trajectory testing, the trajectory parameter is filtered. And the simulation results show that identifying accuracy of this method is higher and convergence is better.