J4 ›› 2014, Vol. 36 ›› Issue (01): 121-125.
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SUN Lei1,2,LI Dong1,YI Dongyun1
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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 MonteCarlo simulation.
Key words: IUKF;trajectory tracking in boost phase;nonlinear filter
SUN Lei1,2,LI Dong1,YI Dongyun1. Research on the trajectory tracking in boost phase based on iterated unscented Kalman filter [J]. J4, 2014, 36(01): 121-125.
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http://joces.nudt.edu.cn/EN/Y2014/V36/I01/121