Aerodynamic parameter estimation is an important way to find the matches between the real aerodynamic characteristics and the designed ones. The theoretical method and the Augmented Extended Kalman Filter(AEKF) is studied and analyzed. By comparing the estimated results with the experimental data, the Extended Kalman Filter algorithm could reduce the influence of noises to get more precious estimation. And the result shows the difference between the real and the designed parameters, which provides a basis for future aerodynamic parameter design.