UDUT Continuous-discrete Unscented Kalman Filtering

被引：3
|
作者：
Lv, Shaolin [1 ]
Chen, Jiabin [1 ]
Liu, Zhide [1 ]
机构：
[1] Beijing Inst Technol, Sch Informat Sci & Technol, Beijing 100081, Peoples R China
来源：
2008 INTERNATIONAL SYMPOSIUM ON INTELLIGENT INFORMATION TECHNOLOGY APPLICATION, VOL II, PROCEEDINGS | 2008年
关键词：
D O I：
10.1109/IITA.2008.571
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper the UDUT continuous-discrete Unscented Kalman filter (UKF) for state estimation of continuous-time nonlinear systems is proposed. UDUT scalar update is introduced into the measurement update procedure of continuous-discrete UKF (CDUKF). It is pointed out that this form is sometimes more efficient than the standard CDUKF. Computational complexity of the two forms of CDUKF is analyzed Reentry vehicle tracking problem is used to demonstrate that the UDUT CDUKF is sometimes faster than the standard form.
引用
收藏
页码：876 / 879
页数：4
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