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Maximum-likelihood ambiguity resolution based on Bayesian principle
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AI
DOI：10.1007/s001900100167.png)
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摘要
En 中文
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.
Keyword:
maximum likelihood
Bayesian estimation
mean square error
