Doppler Integration Aided Kinematic Single-Frequency Cycle Slip Detection

YANG Kaichun; LÜ Zhiping; LI Linyang; KUANG Yingcai; XU Wei

doi:10.13203/j.whugis20200424

Volume 42 Issue 11

Nov. 2022

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Geomatics and Information Science of Wuhan University > 2022 > 47(11): 1860-1869. > DOI: 10.13203/j.whugis20200424

YANG Kaichun, LÜ Zhiping, LI Linyang, KUANG Yingcai, XU Wei. Doppler Integration Aided Kinematic Single-Frequency Cycle Slip Detection[J]. Geomatics and Information Science of Wuhan University, 2022, 47(11): 1860-1869. DOI: 10.13203/j.whugis20200424

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Doppler Integration Aided Kinematic Single-Frequency Cycle Slip Detection

YANG Kaichun^1,,
LÜ Zhiping^{1, 2, ,},
LI Linyang^{1, 3},
KUANG Yingcai¹,
XU Wei¹

1.
Institute of Surveying and Mapping, Information Engineering University, Zhengzhou 450001, China
2.
Institute of Space Science and Applied Technology, Harbin Institute of Technology(Shenzhen), Shenzhen 518055, China
3.
State Key Laboratory of Geodesy and Earth's Dynamics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430077, China

Funds:

Shenzhen Science and Technology Program KQTD20180410161218820

the State Key Laboratory of Geodesy and Earth's Dynamics Open Fund SKLGED2020-3-3-E

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Author Bio:
YANG Kaichun, postgraduate, specializes in GNSS data processing. E-mail: 413729378@qq.com
Corresponding author:
LÜ Zhiping, PhD, professor. E-mail: ssscenter@126.com
Received Date: August 16, 2020
Available Online: November 15, 2022
Published Date: November 04, 2022

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Abstract

Abstract

Objectives The code-phase combination method is often used to detect cycle slips in kinematic single-frequency data, but its detection effect is greatly affected by pseudorange noise. Therefore it is necessary to combine other observations to reduce the effect of pseudorange noise for improving its detection capability.
Methods We propose a Doppler integration aided kinematic single-frequency cycle slip detection method, which first uses Doppler observations to smooth the pseudorange observations for reducing the noise of the pseudorange, and then gets epoch-difference values. In this way, we can significantly improve the capability of kinematic single-frequency cycle slip detection. The experiments use real-time dynamic data different sampling rates, altitude angle variations, continuous cycle slips and coarse differences, respectively. The simulated cycle slips of the different cycle are added at different epochs, and the continuous cycle slips are added at adjacent epochs.
Results The results show that the proposed method compared with the code-phase combination method and the code-phase combination method based on polynomial fitting can detect all the simulated cycle slips in real time.
Conclusions The method of Doppler integration aided kinematic single-frequency cycle slip detection can significantly improve the capability of the single-frequency cycle slips detection.

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References (32)

References

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