Maximum-likelihood ambiguity resolution based on Bayesian principle
Maximum-likelihood ambiguity resolution based on Bayesian principle
复制标题
DOI：
10.1007/s001900100167
复制
发表时间：
2001
影响因子：
4.4
通讯作者：
J. Zhu;Xiucai Ding;Y. Chen
中科院分区：
文献类型：
--
作者：
J. Zhu;Xiucai Ding;Y. Chen
基于贝叶斯原理和GPS载波相位模糊度为整数这一事实，推导了模糊度和位置参数的后验分布。然后，这被用来导出模糊度的最大后验似然解。根据后验分布，研究了整周模糊度解和位置参数的精度。结果表明，整数解的精度不仅取决于相应浮点模糊度解的方差，而且还取决于其值。
Based on the Bayesian principle and the fact that GPS carrier-phase ambiguities are integers, the posterior distribution of the ambiguities and the position parameters is derived. This is then used to derive the maximum posterior likelihood solution of the ambiguities. The accuracy of the integer ambiguity solution and the position parameters is also studied according to the posterior distribution. It is found that the accuracy of the integer solution depends not only on the variance of the corresponding float ambiguity solution but also on its values.