EKF与UKF的性能比较及应用OA北大核心CSCDCSTPCD
Research on performance comparison of EKF and UKF and their application
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.
张文;孙瑞胜
南京理工大学泰州科技学院，江苏泰州225300南京理工大学能源与动力工程学院，江苏南京210094
信息技术与安全科学
非线性滤波扩展卡尔曼滤波无迹卡尔曼滤波
nonlinear filteringextended Kalman filterunscented Kalman filter
《南京理工大学学报（自然科学版）》 2015 (5)
末段简易修正模式分析方法及控制效能研究
614-618,5
国家自然科学基金(11176012)
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