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A novel partial ambiguity method for multi-GNSS real-time kinematic positioning

Published online by Cambridge University Press:  15 July 2021

Haiyang Li ,
Guigen Nie ,
Jing Wang ,
Shuguang Wu  and
Yuefan He
Haiyang Li
Affiliation:
GNSS Research Center, Wuhan University, Wuhan, China
Guigen Nie*
Affiliation:
GNSS Research Center, Wuhan University, Wuhan, China
Jing Wang
Affiliation:
GNSS Research Center, Wuhan University, Wuhan, China
Shuguang Wu
Affiliation:
GNSS Research Center, Wuhan University, Wuhan, China
Yuefan He
Affiliation:
GNSS Research Center, Wuhan University, Wuhan, China
*
*Corresponding author. E-mail: [email protected]
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Abstract

Recent progress in using real-time kinematic (RTK) positioning has motivated the exploration of its application due to its high accuracy and efficiency. However, poorly-observed satellite data will cause unfixed ambiguities and markedly biased solutions. A novel partial ambiguity resolution method, named the irrespective of integer ambiguity resolution (IIAR) model, is proposed and applied to improve the reliability of ambiguity resolution. The proposed method contains initial ambiguity resolution and irrespective of integer ambiguity processes. The initial ambiguity resolution process applies an iterative partial ambiguity resolution method to obtain an approximate solution. The irrespective of integer ambiguity process transforms the approximate solution to a high-precision solution. Experiments show that the approximate solution is unreliable when the initial ambiguity resolution process has small redundancy, and the proposed method can obtain better results for those cases. The IIAR method showed about a 40% improvement of multi-GNSS ambiguity success rate and about a 25% improvement of standard deviation. Therefore, these results show that the proposed IIAR method can improve the results of multi-GNSS RTK positioning significantly.

Keywords

RTKpartial ambiguity resolutioninitial ambiguity resolutionirrespective of integer ambiguity resolution
Type
Research Article
Information
The Journal of Navigation , Volume 75 , Issue 3 , May 2022 , pp. 540 - 553
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Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press on behalf of The Royal Institute of Navigation

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