2015
DOI: 10.1007/s00190-015-0826-0
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GNSS integer ambiguity validation based on posterior probability

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Cited by 19 publications
(10 citation statements)
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“…Although the critical value of the ratio is always determined by experimental experience, the empirical critical value of the ratio cannot fully reflect the strength of the positioning model owing to the complexity of the observations and randomness of the ambiguity parameters. Under the framework of the Bayesian hypothesis testing theory, the reliability of ambiguity fixing can be judged if the posterior probability of ambiguity is greater than the defined confidence level [43]. A detailed derivation can be found in the work of Wu et al (2015).…”
Section: Ucppp Partial Ambiguity Resolutionmentioning
confidence: 99%
“…Although the critical value of the ratio is always determined by experimental experience, the empirical critical value of the ratio cannot fully reflect the strength of the positioning model owing to the complexity of the observations and randomness of the ambiguity parameters. Under the framework of the Bayesian hypothesis testing theory, the reliability of ambiguity fixing can be judged if the posterior probability of ambiguity is greater than the defined confidence level [43]. A detailed derivation can be found in the work of Wu et al (2015).…”
Section: Ucppp Partial Ambiguity Resolutionmentioning
confidence: 99%
“…Smaller means the implementation is closer to the theory and consequently heavier computation burden. Then, the integers within the radius are considered as the valid integer set and used to compute the [ 4 , 30 , 31 ]. The integer set can be defined as: …”
Section: The Sub-optimality Of the Difference Testmentioning
confidence: 99%
“…Jazaeri et al [42] developed integer search estimation based on the lattice theory whose search algorithms were presented and proved to be many times faster than the least-squares ambiguity decorrelation adjustment (LAMBDA) [43] and modified LAMBDA [44]. Wu and Bian [45] developed a posterior probability test to validate each ambiguity subset, which can guarantee the correct fixing confidence. However, in the above-mentioned methods, the fixing and computing efficiency of high-dimensional ambiguity for the MBRTK has not been investigated.…”
Section: Introductionmentioning
confidence: 99%