摘要
获得合理的形变分析量是形变监测的前提。本文以测站坐标和速率为参数,分析比较了形变分析数据处理的3种方法:静态平差解、动态平差解以及滤波解,由于随机误差的存在,这3种解变得不等价;进而分析了这3种数据处理的方差分量解。最后以陕西省中部的一形变监测网为例,分析了其应用效果。
In monitoring deformation of regional network, one of the most important problems is to obtain the precise position and velocity of monitoring points. In this paper, three data processing methods of monitoring deformation of regional network were analyzed, which are static adjustment, kinematic adjustment and Kalman filter respectively. If the influence of random error is ignored, the reso- lutions of three methods are equivalent ; otherwise, if which is considered as a variable value, the resolutions of them are different. For validation of above analysis, some real GPS data were tested. The results showed that the resolution precision of Kalman filter with Helmert variance estimation would be better than those of other methods under some condition.
出处
《测绘科学》
CSCD
北大核心
2013年第2期26-28,共3页
Science of Surveying and Mapping
基金
国家自然科学基金(41020144004
41004013
41274040)
关键词
形变监测网
静态平差
动态平差
滤波
随机误差
deformation monitoring network
static adjustment method
dynamic adjustment
Kalman filtering
stochastic error