基于迭代UKF的主动段弹道跟踪算法研究

J4 ›› 2014, Vol. 36 ›› Issue (01): 121-125.

基于迭代UKF的主动段弹道跟踪算法研究

孙雷1,2，李冬1，易东云1

（1.国防科学技术大学理学院，湖南长沙 410073;2.南京炮兵学院，江苏南京 211132）

收稿日期:2012-04-18 修回日期:2012-06-28 出版日期:2014-01-25 发布日期:2014-01-25

Research on the trajectory tracking in boost phase
based on iterated unscented Kalman filter

SUN Lei1,2,LI Dong1,YI Dongyun1

(1.College of Science,National University of Defense Technology,Changsha 410073;
2.Nanjing Artillery Academy,Nanjing 211132,China)

Received:2012-04-18 Revised:2012-06-28 Online:2014-01-25 Published:2014-01-25

摘要/Abstract

摘要：

卫星在角度测量信息下对弹道导弹主动段的跟踪面临可观测性弱、初始误差大等问题，寻找一种快速稳健的跟踪算法尤为重要。引入一种稳健而有效的迭代UKF滤波算法（IUKF），它通过对UKF算法进行修正，改善了对状态滤波值和协方差的估计。通过MonteCarlo仿真与其他算法进行比较，表明新算法收敛速度更快、收敛精度更高，是解决主动段跟踪问题的一种更为有效的算法。

关键词: 迭代卡尔曼滤波, 主动段跟踪, 非线性滤波

Abstract:

Abstract:The trajectory tracking using the satellite LOS measurement faces the problem of weak observability and large initial error. It’s important to develop a robust and fast tracking algorithm. A new algorithm Iterated UKF is proposed, which improves the estimate of the trajectory state and covariance by modifying the traditional UKF. Simulation results show that the new algorithm has shorter convergence time and higher tracking accuracy in comparison with the other methods using the MonteCarlo simulation.

Key words: IUKF;trajectory tracking in boost phase;nonlinear filter

孙雷1,2，李冬1，易东云1. 基于迭代UKF的主动段弹道跟踪算法研究[J]. J4, 2014, 36(01): 121-125.

SUN Lei1,2,LI Dong1,YI Dongyun1. Research on the trajectory tracking in boost phase
based on iterated unscented Kalman filter [J]. J4, 2014, 36(01): 121-125.