• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

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

• 论文 • Previous Articles     Next Articles

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

SUN Lei1,2,LI Dong1,YI Dongyun1   

  1. (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

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