摘要
多路径效应是GPS高精度实时动态变形监测中的主要误差源,通过经验模态分解方法对三维坐标序列进行多尺度分解和重构,提取作为趋势项的多路径模型;并利用多路径效应的周日强相关性特点,对第二天动态坐标进行多路径效应去除,得到削弱多路径效应后的坐标序列。研究结果表明,多路径效应削弱后的坐标序列稳定性明显增强,坐标的精度明显提高。
The GPS signal multipath effects is considered as a major error sources for the high-precision real-time dynamic deformation monitoring. The trend being extracted from the three-dimensional coordinate series are multipath model by using empirical mode decomposition（EMD） method;The research demonstrates that the multipath effects have strong correlation between two successive days, and after the coordinate series being corrected through the first day＇s multipath model, the new coordinate series generate. The result shows that the stability and the accuracy are markedly improved after multipath effects being removed.
出处
《武汉大学学报（信息科学版）》
EI
CSCD
北大核心
2010年第4期481-485,490,共6页
Geomatics and Information Science of Wuhan University
基金
国家自然科学基金资助项目(40774010
40904004)
煤炭资源与安全开采国家重点实验室开放研究基金资助项目(08KF07)
国家教育部博士点专项基金资助项目(200802901516)
关键词
经验模态分解
多路径效应
动态变形监测
empirical mode decomposition
multipath effects
dynamic deformation monitoring
