摘要
美国的GPS和俄罗斯的GLONASS是各自独立的天基卫星定位系统。本文在分析信息融合技术中的互补和协同信息处理原理的基础上,采用卡尔曼滤波器实时处理实现了GPS与GLONASS组合后的参数解算和高精度定位。研究结果表明,组合后双系统的可用卫星数目增多,不仅能填补单一系统存在的覆盖空白问题,而且可使双系统在高动态环境下的定位精度得到显著提高。
GPS of America and GLONASS of Russia are navigation systems respectively that are based on satellites. In this paper, the information technology and some information process methods are analyzed, and the real-time process capacity is realized by adopting the Kalman filter in order to compute the parameters and high-precision positioning. The research shows that the number of the visible satellites is increased, and the blank coverage problem is solved, also the positioning precision is enhanced in the high dynamic state.
出处
《全球定位系统》
2007年第4期1-3,共3页
Gnss World of China
基金
中国科学院上海技术物理研究所知识创新项目(07KZ141W09)资助