摘要
针对 GPS接收机在高机动工作状态或受遮挡时易出现“丢星”现象而导致定位中断的问题 ,提出了一种采用 GPS/ GL ONASS/ INS组合导航系统对载体进行快速定位、定向的新方法。文中首先总结了 GPS导航系统的不足 ,在此基础上给出了组合系统的设计方案和工作原理 ,然后对基于联合卡尔曼滤波的多传感器信息融合算法进行了论述与分析 ,最后给出了计算机仿真。结果表明 :该方法可有效地提高导航系统的精度和可靠性 ,为融合导航系统的数据分析和处理提供了一个有效途径。
When a GPS receiver is in high dynamic state or sheltered by obstacles, navigation is always interrupted due to 'losing satellites'. So a new method of GPS/GLONASS/INS integrated navigation system for quick positioning and orientating is presented to solve this problem. Firstly, the demerits of GPS is reviewed, and the scheme and the principles of the integrated navigation system are explained. Then a multi sensor information fusion algorithm based on federal Kalman filter is analyzed in detail. Finally, the computer simulation is given. Result shows that the accuracy and the reliability of the navigation system are efficiently improved thus providing an approach to data processing in the integrated navigation system.
出处
《数据采集与处理》
CSCD
2001年第2期210-214,共5页
Journal of Data Acquisition and Processing
关键词
组合导航系统
信息融合
GPS
数据采集
information fusion
integrated navigation
GPS
federal Kalman filter