Improved Square Root UKF Applying to Reentry Glide Target Tracking

被引：0

作者：

Ye Z.-H. ^{[1
]}

Bi H.-K. ^{[1
]}

Tan X.-S. ^{[1
]}

Qu Z.-G. ^{[1
]}

Zhang Y.-L. ^{[1
]}

Cheng Y. ^{[1
]}

机构：

[1] Air Force Early Warning Academy, Wuhan

来源：

Yuhang Xuebao/Journal of Astronautics | 2019年 / 40卷 / 02期

关键词：

Aerodynamic model; Near space; Spherical unscented transform; Square root UKF; Tracking;

D O I：

10.3873/j.issn.1000-1328.2019.02.011

中图分类号：

学科分类号：

摘要：

To improve the tracking problem of the hypersonic reentry glide targets in near space, an improved square root UKF filtering algorithm (ISR-UKF) based on the new aerodynamic model is proposed. Firstly, we improve the aerodynamic model. Secondly, based on the traditional square root UKF algorithm, we use the spherical unscented transform to calculate the weight coefficient and the sigma point. And we improve the decomposition method of the square root matrix. At the same time, to solve the problem that the singular value makes the filter invalid when the matrix inversion occurs, multiple stability factors are introduced in the covariance matrix update. Finally, the algorithm is compared with the ISR-UKF based on the traditional aerodynamic force, square root UKF based on the new aerodynamic force, and square root UKF based on the traditional aerodynamic force. The results show that the algorithm has good filtering performance, and can avoid the occurrence of the singular value problems. So it also has good reliability. © 2019, Editorial Dept. of JA. All right reserved.

引用

页码：215 / 222

页数：7

共 16 条

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