Research on the Multi-constellation Positioning with the Aid of GNSS Intersystem Time Offset

LIU Shuo; ZHANG Lei; LI Jian

doi:10.13203/j.whugis20150199

Volume 42 Issue 7

Jul. 2017

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Geomatics and Information Science of Wuhan University > 2017 > 42(7): 1015-1020. > DOI: 10.13203/j.whugis20150199

LIU Shuo, ZHANG Lei, LI Jian. Research on the Multi-constellation Positioning with the Aid of GNSS Intersystem Time Offset[J]. Geomatics and Information Science of Wuhan University, 2017, 42(7): 1015-1020. DOI: 10.13203/j.whugis20150199

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Research on the Multi-constellation Positioning with the Aid of GNSS Intersystem Time Offset

LIU Shuo^{1, 2,},
ZHANG Lei^{1, 2, ,},
LI Jian^{1, 2}

1.
School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China
2.
Key Laboratory of Electronic and Information Technology in Satellite Navigation, Beijing Institute of Technology, Beijing 100081, China

Funds:

The National Natural Science Foundation of China 61101128

the National High Technology Research and Development Program (863 Program) of China 2013AA122103

More Information

Author Bio:
LIU Shuo, PhD candidate, specializes in GNSS high precise positioning, etc. E-mail: sure@bit.edu.cn
Corresponding author:
ZHANG Lei, PhD, lecturer. E-mail:aerolong@bit.edu.cn
Received Date: May 23, 2016
Published Date: July 04, 2017

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Abstract

Abstract

GNSS (global navigation satellite systems) time uses atomic clock as the time standard while GNSS receiver uses crystal oscillator. The stability of atomic clock is several times of magnitudes better than crystal oscillator. Therefore, the intersystem time offset between different GNSS is more stable than receiver clock bias. It will benefit the positioning results if we can fully use that prior information. The purpose of this contribution is to analyze how to use that prior information properly and examine the influence on it. We deduce two positioning model based on different clock bias estimation method and introduce two parameter estimation algorithm:least square (LS) and extended Kalman filter (EKF). Static and dynamic tests were carried out and some conclusions are made:the LS cannot improve the positioning performance with the prior information of that the intersystem time offset between different GNSS is more stable than receiver clock bias. Static test results show the EKF itself has some kind of noise suppression. The noise is less in case we use the "stable" prior information. Dynamic test shows divergence of EKF can be suppressed by using the "stable" prior information.
- GNSS,
- compatible positioning,
- intersystem time offset

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References

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