GPS positioning-based trajectory parameter estimation and ejection point selfadapting control method

In order to solve the problems that the timing opening of the carrier projectile for dispersion of the bullet is influenced by the distribution of the trajectory of the carrier projectile, and the central distribution of the bullet cluster is large while the coverage rate of the bullets for the target is low, a method for estimating the trajectory parameters and for controlling the self-adapting of the ejection point based on the GPS positioning is proposed. The status can be predicted by solving the numeric value of the particle motion equation of the projectile; adopting the GPS positioning data as the observed quantity, Kalman filtering trajectory parameter estimation mathematical model is established; at the same time, by distinguishing the abnormal situations of the measurement of the GPS receiver, the reliability of the trajectory parameter estimation is improved. According to the self-adapting opening control flow procedures, a fast algorithm for the prediction of the trajectory and the adjustment quantity of the carrier projectile opening time is designed, so that the load of the missile-borne computer can be reduced. Through the Monte Carlo range test and the semi-physical simulation test, it is proved that this method can effectively reduce the dispersion of the center of the bullet cluster; the error is only 20 percent of that of the timing opening.