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Maximum-likelihood ambiguity resolution based on Bayesian principle
- Source :
- Scopus-Elsevier
-
Abstract
- 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.
- Subjects :
- Bayes estimator
Ambiguity resolution
Mean squared error
media_common.quotation_subject
Bayesian probability
Posterior probability
Computer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)
Ambiguity
Least squares
Statistics::Computation
ComputingMethodologies_PATTERNRECOGNITION
Geophysics
Geochemistry and Petrology
Position (vector)
Statistics
Statistics::Methodology
Computers in Earth Sciences
Algorithm
Mathematics
media_common
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- Scopus-Elsevier
- Accession number :
- edsair.doi.dedup.....012bd0e758c1611c7a09a372eda0d2d5