Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications
Online ISSN : 2188-4749
Print ISSN : 2188-4730
The 47th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (Dec. 2015, Honolulu)
Partial Ambiguity Resolution Methods Applied by Precise Correction Information for Long Baseline Positioning
Masato HomanYukihiro KuboSueo Sugimoto
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2016 Volume 2016 Pages 307-312

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Abstract

In this paper, practical methods for improving GPS relative positioning accuracy in long baseline are presented and examined by using real data. In our previous work, the method for improving positioning accuracy has been presented by applying PAR(Partial Ambiguity Resolution) method. However, it is also shown that the estimate of the position as well as the integer ambiguity are unreliable due to ionospheric delay, satellite orbit error, etc. Therefore, in this paper, we propose a new long baseline positioning method by applying PAR method and LEX(L-band EXperiment) correction information. LEX correction information is a signal broadcast from QZS(Quasi-Zenith Satellite) which is Japanese navigation satellite. By using PAR and LEX correction, the experimental results show that the dominant error sources such as the ionospheric delay and satellite orbit error are corrected by LEX signal, and the integer ambiguity can be more efficiently resolved. Consequently the positioning accuracy are improved.

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© 2016 ISCIE Symposium on Stochastic Systems Theory and Its Applications
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