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《ACTA GEODAETICA ET CARTOGRAPHIC SINICA》 1999-04
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The Improved Method of Adaptive Kalman Filtering for GPS High Kinematic Positioning

HU Guo rong,OU Ji kun (Institute of Geodesy & Geophysics ,Chinese Academy of Sciences,Hubei,Wuhan,430077)  
When Kalman Filtering is used in high kinematic GPS positioning, it is difficult to know the properties of kinematic noise and measurement noise. Therefore, the improved method of adaptive Kalman Filtering for GPS high kinematic positioning is proposed in this paper. The theoretical analysis and numerical results show that the method has better numerical stability, smaller memory, and stronger adaptability.
【Fund】: 国家杰出青年科学基金
【CateGory Index】: P228
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