In response to the strong coupling between line-of-sight angular rate and attitude error in the output of the strapdown rotating projectile,a method based on adaptive fading volume covariance Kalman filtering(AFCKF)is proposed.To achieve the decoupling of line-of-sight angular rate,the relative motion characteristics of missile and tar-get are considered.A state model is constructed,which includes an estimation model of line-of-sight angular rate in the terminal guidance phase,and a measurement model including line-of-sight angle and attitude angular is established based on geometric relationships.To solve the problem of filter failure caused by the divergence of the line-of-sight an-gular rate estimation results in traditional CKF for rotating projectile,a fading factor based on residual sequence is in-troduced to adjust the predicted state covariance for quick convergence of the estimation results.To verify the effective-ness of AFCKF,typical interferences of attitude angle and measurement angle are considered.Simulation results show that the mean estimation errors of line-of-sight elevation rate and azimuth rate of the proposed method are 30.41％and 42.18％of the traditional EKF,respectively,effectively improving the accuracy of line-of-sight angular rate estimation for rotating projectil.
万方数据
维普
