Target tracking for maneuvering reentry vehicles with interactive multiple model unscented Kalman filter

被引：0

作者：

Zhang, Shu-Chun ^{[1
]}

Hu, Guang-Da ^{[1
]}

机构：

[1] Center for Control Theory and Guidance Technology, Harbin Institute of Technology

来源：

Zidonghua Xuebao/Acta Automatica Sinica | 2007年 / 33卷 / 11期

关键词：

Maneuvering; Reentry vehicle; Square root filtering; Unscented transformation;

D O I：

10.1360/aas-007-1220

中图分类号：

学科分类号：

摘要：

When tracking maneuvering reentry vehicles, an extended Kalman filter with maneuvering reentry vehicle (MaRV) model is usually used in a traditional method. To increase the performance of maneuvering target tracking two efforts are made. On the one hand, a more appropriate multiple model method is used in describing movement properties of the maneuvering target, on the other hand, the Unscented Kalman filter implying higher order precision is adopted in respective matching model-For numerical problems which are often encountered in implementing this interactive multiple model Unscented Kalman filter, a numerical robust solution is given by using square root filtering.

引用

页码：1220 / 1225

页数：5

共 9 条

[1] Chang C.B., Athans M., Whiting R., On the state and parameter estimation for maneuvering reentry vehicles, IEEE Transactions on Automatic Control, 22, 1, pp. 99-105, (1977)
[2] Bar-Shalom Y., Li X.R., Kirubarajan T., Estimation with applications to tracking and navigation, pp. 421-488, (2001)
[3] Julier S.J., Uhlmann J.K., Reduced sigma point niters for the propagation of means and covariances through nonlinear transformations, Proceedings of the American Control Conference, pp. 887-892, (2002)
[4] Vandenmerwe R., Wan E.A., The square-root unscented Kalman filter for state and parameter-estimation, Proceedings of International Conference on Acoustics, Speech and Signal Processing, pp. 3461-3464, (2001)
[5] Julier S.J., Uhlmann J.K., Durrant-Whyte H.F., A new method for the nonlinear transformation of means and covariances in filters and estimators, IEEE Transactions on Automatic Control, 45, 3, pp. 477-482, (2000)
[6] Mazor E., Averbuch A., Bar-Shalom Y., Dayan J., Interacting multiple model methods in target tracking: A survey, IEEE Transactions on Aerospace and Electronics Systems, 34, 1, pp. 103-123, (1998)
[7] Li X.R., Bar-Shalom Y., Design of an interacting multiple model algorithm for air traffic control tracking, IEEE Transactions on Control Systems Technology, 1, 3, pp. 186-194, (1993)
[8] Zhang Y.M., Jiang J., Integrated active fault-tolerant control using IMM approach, IEEE Transactions on Aerospace and Electronics Systems, 37, 4, pp. 1221-1235, (2001)
[9] Jilkov V.P., Li X.R., Online Bayesian estimation of transition probabilities for Markovian jump systems, IEEE Transactions on Signal Processing, 52, 6, pp. 1620-1630, (2004)

← 1 →