论文部分内容阅读
基于地基雷达观测的航迹滤波技术是飞行器实时跟踪的重要方法。飞行器中段滤波精度的依赖因素是动力学方程和测量方程,传统的EKF(Extended Kalman Filter)滤波算法在一定程度上制约了精度。故本文提出了基于UKF(UnscentedKalman Filter)的飞行器滤波算法。通过理论和仿真证明,基于UKF的滤波算法比基于EKF的滤波算法估计精度更高,收敛速度更快。
Trajectory filtering based on ground-based radar observations is an important method for real-time tracking of aircraft. The dependent factor of mid-stage filter accuracy is the dynamic equation and the measurement equation. The traditional Extended Kalman Filter (EKF) algorithm restricts the accuracy to a certain extent. Therefore, this paper proposes an aircraft filter algorithm based on UKF (Unscented Kalman Filter). The theoretical and simulation results show that the UKF-based filtering algorithm has higher estimation accuracy and faster convergence than the EKF-based filtering algorithm.