AERODYNAMIC COEFFICIENTS ESTIMATION OF SERIES OF BALLISTIC ROCKETS FROM ONLY RADAR TRACKED DATA

In this paper the task of identificatio n of the aerodynamic coefficients from a series of ballistic rockets from radar tracked data has been carried out . The random noise component of the raw telemeter signals of the tracking radar has been removed using both Extended Kalman Filter and Minimum Model Error state estimator. Then the estimated position, velocity and flight path angles are used as measurements to extract the aerodynamic coefficients using the Method of Maximum Likelihood Estimation blended with Broyden Fletcher Goldfarb Shanno optimization scheme as a parameter estimation problem. The plant for state estimation is 3rd order Gauss Markov and the same for parameter estimation is Two Degrees of Freedom model of the vehicle. Finally the estimated aerodynamic coefficients have been compared with the preflight theoretical values. Excellent consistency exists between the aerodynamic coefficients estimated from flight data of a series of same class rockets .