摘要
该文分析了扩展卡尔曼滤波(EKF)、无迹卡尔曼滤波(UKF)的基本原理和特点,并以跟踪系统和捷联惯导系统(SINS)的动基座对准为对象,分别采用这两种算法对其进行了仿真。仿真结果表明,UKF的滤波精度高于EKF,说明对于强非线性系统,UKF比EKF具有更强的优越性,可以广泛应用在目标跟踪系统和航天航空领域。
This paper especially analyzes the basic principles and characteristics of extended Kalman filter（ EKF） and unscented Kalman filter（ UKF）. Simulations are made in one-dimensional nonlinear tracking system and the moving base of strapedown inertial navigation systems（ SINS） alignment. The results demonstrate that the precision of UKF is higher than that of EKF for the nonlinear system,and it can be widely used for the target tracking and the aerospace.
出处
《南京理工大学学报》
EI
CAS
CSCD
北大核心
2015年第5期614-618,共5页
Journal of Nanjing University of Science and Technology
基金
国家自然科学基金(11176012)
