1) weights of virtual observation value
虚拟观测值的权
1.
Then the problem about choosing weights of virtual observation value is discussed.
提出了附有限制条件间接平差的虚拟观测算法,该算法计算简单,易于理解,讨论了虚拟观测值的权的取值问题,最后用一算例验证了附有限制条件间接平差的虚拟观测算法的合理性和正确性。
2) virtual observation
虚拟观测值
1.
The virtual observation method with weight prior-determined and its application in orientation of the linear array imagery
基于先验求权的虚拟观测值法及其在线阵影像定向中的应用
2.
The principle of VRS technology is discussed with corresponding formula deduction,and descriptions of VRS corrections and virtual observations generation and positioning algorithm are presented in detail as well as their applications.
介绍了网络RTK中VRS技术的基本原理,讨论了VRS改正数及虚拟观测值的生成、定位算法与应用,实例计算证明了该算法的有效性。
3.
This paper provides an adjustment considering the initial data errors,that is an integrated adjustment with the initial data as virtual observations to be adjusted along with the real ones.
本文提出了顾及起算数据误差的计算方法 ,即从整体平差的角度出发 ,将起算数据作为虚拟观测值 ,与观测值一起进行平差。
3) virtual phase observation
虚拟相位观测值
1.
The key technique of network differential positioning based on virtual reference station,the algorithm the generation of virtual phase observation and differential corrections was proposed.
针对虚拟参考站网络差分定位的关键技术,提出了虚拟相位观测值及差分改正信息生成的算法模型。
4) Weight of observation value
观测值的权
5) virtual observation
虚拟观测
1.
A virtual observational approach to ill-conditioned problem;
基于虚拟观测的病态问题解法
2.
Since the constraint is taken as the virtual observations,the ridge parameter is transformed to weight ratio of the two types of observations,and then the ridge parameter can be selected with the Helmert variance components estimation method.
该方法把约束条件作为一类参数之间互相独立的虚拟观测,从而把岭参数转变为两类观测值的权比,然后用Helm ert方差分量估计的方法确定岭参数。
6) virtual observed value
虚拟观测量
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