Application of baseline constraint Kalman filter to BeiDou precise point positioning

Abstract

This paper proposes a baseline constrained PPP method to enhance the performance. The approach is based on constrained Kalman filter, and applied to BeiDou PPP in static, pseudo-kinematic, real kinematic modes. Both zero baseline and short baseline constrained PPP are verified in static mode, while a marine geodesy environment is designed to evaluate the performance in kinematic mode. The experiment results show that, compared to the PPP without constraint, the baseline constrained PPP can significantly improve the positional accuracy. Furthermore, the accuracy of baseline constrained static PPP can reach centimetre level, while the kinematic PPP can reach decimetre level.

Keywords:

• Baseline constraint Kalman filter
• Maritime kinematic precise point positioning
• BDS

Notes on contributors

Xiaoguo Guan is a Ph.D. candidate. Institute of Geospatial Information, Information Engineering University, Zhengzhou, People's Republic of China. Xuchang University, Xuchang, People's Republic of China. Her main research activities comprise BDS/GNSS precision positioning data processing.

Hongzhou Chai, Institute of Geospatial Information, Information Engineering University, Zhengzhou, People's Republic of China.

Guorui Xiao, Institute of Geospatial Information, Information Engineering University, Zhengzhou, People's Republic of China.

Chunhe Liu, Institute of Geospatial Information, Information Engineering University, Zhengzhou, People's Republic of China.

Mingchen Shi, Institute of Geospatial Information, Information Engineering University, Zhengzhou, People's Republic of China.

Additional information

Funding

This work is supported by the National Natural Science Foundation of China (fund number: 41574010, 41904039, 41604013) and the National Key Laboratory of Geographic Information Engineering (ID: SKLGIE 2015-Z-1-1).