An Adaptive RK-UKF Projectile Impact Point Prediction Method Based on Strong Tracking Filter
Wanyu Jiang, Zhan Wang, Shuangxun Li · 2020 9th Asia-Pacific Conference on Antennas and Propagation (APCAP) · 2020
This paper proposes an adaptive RK-UKF projectile impact point prediction (IPP) method based on strong tracking filter. This method processes the trajectory model by unscented Kalman filter (UKF) to avoid linearization error, and by Runge- Kutta integral to avoid discretization error, then combines the strong tracking filter to adaptively adjust the state prediction covariance matrix and gain matrix to compensate for the deviation of the trajectory model. Simulation proves that this method can improve the convergence performance of the filter and the accuracy of impact point prediction.