Prediction of Atmospheric Delay of Medium and Long Distance GPS Reference Station Network

Qiu Ying Guo; Jing Wei Wang; Bao Min Han

doi:10.4028/www.scientific.net/AMM.178-181.2757

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 178-181Prediction of Atmospheric Delay of Medium and Long...

Prediction of Atmospheric Delay of Medium and Long Distance GPS Reference Station Network

Abstract:

Integer ambiguity resolution is a prerequisite for GPS reference station network. Due to the presence of distance errors in the double-differenced data (principally atmospheric delays), the convergence time of ambiguity in medium and long distance GPS reference station network is about a dozen minutes and even dozens of minutes. And in the case of loss-of-lock, cycle-slips or new rising satellites, the integer ambiguity value have to be redetermined over and over again. But for the application of GPS network RTK, the resolution of ambiguity needs to be determined real time as possible. This paper described techniques to predict atmospheric biases using exponent model and AR model from derived the atmospheric delays by previous epochs, which is helpful for rapid solution of ambiguity and generation of error correction in the GPS reference station network. Experiment shows that the precision of predicted atmospheric delays is about 2-3 cm using temporal- and spatial-correlation exponent model and AR model in medium and long distance GPS reference station network.

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Periodical:

Applied Mechanics and Materials (Volumes 178-181)

Pages:

2757-2760

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.178-181.2757

Citation:

Cite this paper

Online since:

May 2012

Authors:

Qiu Ying Guo, Jing Wei Wang, Bao Min Han

Keywords:

AR Model, Atmospheric Delay, Exponent Model, GPS Reference Network, Prediction

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