首页 | 本学科首页   官方微博 | 高级检索  
     

基于信息融合的组合导航系统研究
引用本文:黄晓瑞,崔平远.基于信息融合的组合导航系统研究[J].数据采集与处理,2001,16(2):210-214.
作者姓名:黄晓瑞  崔平远
作者单位:哈尔滨工业大学航天工程与力学系
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/GLONASS/INS组俣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。

关 键 词:组合导航系统  信息融合  GPS  数据采集
文章编号:1004-9037(2001)02-0210-05
修稿时间:2000年5月17日

Research of Integrated Navigation System Based on Information Fusion
Huang Xiaorui,Cui Pingyuan.Research of Integrated Navigation System Based on Information Fusion[J].Journal of Data Acquisition & Processing,2001,16(2):210-214.
Authors:Huang Xiaorui  Cui Pingyuan
Affiliation:Huang Xiaorui Cui Pingyuan Department of Astronautics Engineering and Mechanics,Harbin Institute of Technology Harbin 150001,P.R.China
Abstract: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.
Keywords:information fusion  integrated navigation  GPS  federal Kalman filter
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号