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.

参考文献［7］

［1］	Danis J. Spacebased tactical missile launch parameter estimation［J］. IEEE Transactions on AES, 1993, 29(2):412424.
［2］	Li Yicong, Kirubarajan T, BarShalom Y, et al. Trajectory and launch point estimation for ballistic missiles from boost phase LOS measurements［C］∥Proc of IEEE Aerospace Conference, 1999:425442.
［3］	Bellaire R L,Kamen E W,Zabin S M. New nonlinear iterated filter with applications to target tracking［C］∥Proc of the SPIE’95, 1995:240251.
［4］	Van Zandt J R. Boost phase tracking with an unscented filter［C］∥Proc of the SPIE’02, 2002:263274.
［5］	Zhan Ronghui, Wang Ling, Wan Jianwei. Research on robust algorithm for single observer passive target tracking［J］. Signal Processing, 2007,23(3):464468.(in Chinese)
［6］	Li X R,Jilkov V P. Survey of maneuvering target tracking part II:Motion models of ballistic and space target［J］. IEEE Transactions on Aerospace and Electronic Systems, 2010, 46(1):96119.
［7］	Li Dun.Target location and prediction with space early warning system［D］.Changsha:National University of Defense Technology, 2001.(in Chinese)
［8］	Julier S J, Uhlmann J K, DurrantWhyte H F. A new method for the nonlinear transformation of means and covariances in filters and estimatimators［J］. IEEE Transactions on Automatic Control, 2000,45(3):477482.
［9］	Wan E A, Merwe R, Nelson A T. Dual estimation and the unscented transformation［M］∥Advances in Neural Information Processing Systems 12, Cambridge:MIT Press, 2000:666672.
	附中文参考文献：
［5］	占荣辉,王玲,万建伟.稳健的单站无源目标跟踪算法研究［J］.信号处理,2007,23(3):464468.
［7］	李盾.空间预警系统对目标的定位与预报［D］.长沙:国防科学技术大学,2001.