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Maximum-likelihood ambiguity resolution based on Bayesian principle

Zhu, J. / Ding, X. / Chen, Y.

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.

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Maximum-likelihood ambiguity resolution based on Bayesian principle

Zhu, J. / Ding, X. / Chen, Y.

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.

Maximum-likelihood ambiguity resolution based on Bayesian principle

Zhu, J. / Ding, X. / Chen, Y.

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.

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Title:

Maximum-likelihood ambiguity resolution based on Bayesian principle

Contributors:

Zhu, J. (author) / Ding, X. (author) / Chen, Y. (author)

Published in:

Journal of Geodesy ; 75

Publication date:

2001

ISSN:

DOI:

https://doi.org/10.1007/s001900100167

Type of media:

Article (Journal)

Type of material:

Print

Language:

English

Keywords:

Geodäsie , Geodynamik

Classification:

BKL: 38.73 Geodäsie

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