Tracking ballistic target based on square root quadrature Kalman filter
Chongzhao Han, Moe Key · Kongzhi yu juece · 2010
In order to track the ballistic re-entry target,a square root quadrature Kalman filter(SRQKF) is presented to estimate the target state.The proposed algorithm is the square root implementation of the quadrature Kalman filter(QKF). The square root quadrature Kalman filter propagates the mean and the square root of the covariance,which guarantees the symmetry and positive semi-definiteness of the covariance matrix,improves numerical stability and numerical accuracy,but at the expense of increased computational complexity.The simulation experiments show that,the estimation accuracy of the new algorithm outperforms that of the QKF and the extended Kalman fitering algorithms,and the method is an effective nonlinear filtering method.