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SINS/GPS组合导航的扩展Kalman滤波算法 被引量:1

SINS/GPS Integrated Navigation Extended Kalman Filtering Algorithm
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摘要 针对捷联惯性导航系统(SINS)无法长时间单独工作和GPS卫星信号易失锁而无法定位的问题,分析了两种导航系统的优缺点,提出了SINS/GPS组合导航的方法.建立了陀螺和加速度计的误差模型,采用松耦合方式,设计了扩展Kalman滤波器.以姿态、速度、位置的误差以及陀螺、加速度计的误差作为状态变量,对姿态、速度、位置进行校正.运用Matlab对组合导航系统进行了仿真.结果表明,该算法简单,容易实现,能满足导航精度要求. In view the problems such as strap--down in- ertial navigation system(SINS) can't work alone for longtime,GPS navigation cafft locate when it is in turnel,a SINS/ GPS integrated navigation method is proposed based on the analysis of SINS and GPS. Extended kalman filter is de- signed with loose integration of the error model of gyro and aceelerometer. The errors of attitude, velocity, position and the errors of gyro and aecelerometer are taken as state varia- bles,with attitude, velocity and position being revised. The results of simulation show that this method is easy to come true and can meet the requirement of the precision of naviga- tion using matlab.
出处 《成组技术与生产现代化》 2013年第4期1-4,29,共5页 Group Technology & Production Modernization
基金 国家863计划资助项目(2009AA04Z167)
关键词 SINS GPS 组合导航 松耦合 扩展Kalman滤波 SINS/GPS integrated navigation loose inte-gration extended kalman filter
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参考文献4

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共引文献29

同被引文献5

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