摘要
研究了自适应滤波定位算法,以便减小大机动时组合导航系统的定位误差。首先,在仿真分析组合导航算法的基础上,提出了模糊逻辑自适应滤波方案。然后,通过仿真获取系统知识,建立模糊逻辑算法调整滤波器驱动噪声方差,实现滤波定位模型对用户机动的适应性。最后,通过仿真验证,模糊逻辑自适应滤波算法能够根据用户机动情况实时调整卡尔曼滤波器的驱动噪声方差参数,并能有效提高组合导航系统机动时的定位精度。
In order to reduce the position error of Beidou integrated navigation system in maneuverability condition,adaptive filter algorithm is studied in this paper.Firstly,a fuzzy logic adaptive filter method is proposed based on analyse to integrated navigation algorithm.Secondly,a fuzzy logic algorithm that regulate filter's drive noise variance is founded by emulational knowledge from integrated navigation system.Finally,it is explained in emulation mode that the fuzzy logic adaptive filter algorithm can regulate kalman filter's noise variance according to user's maneuverability,and as a result the algorithm can improve the positioning precision of integrated system efficiently in maneuverability condition.
出处
《火力与指挥控制》
CSCD
北大核心
2012年第2期139-143,共5页
Fire Control & Command Control
基金
浙江省科技计划基金(2010C31105)
浙江省教育厅基金(Y200909772)
浙江理工大学科研启动基金资助项目(0904808-Y)
关键词
组合导航系统
卡尔曼滤波
模糊
自适应
integrated navigation system
Kalman filter
fuzzy
adaptive