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A cycle slip fixing method with GPS + GLONASS observations in real-time kinematic PPP

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Abstract

A key limitation of precise point positioning (PPP) is the long convergence time, which requires about 30 min under normal conditions. Frequent cycle slips or data gaps in real-time operation force repeated re-convergence. Repairing cycle slips with GPS data alone in severely blocked environments is difficult. Adding GLONASS data can supply redundant observations, but adds the difficulty of having to deal with differing wavelengths. We propose a single-difference between epoch (SDBE) method to integrate GPS and GLONASS for cycle slip fixing. The inter-system bias can be eliminated by SDBE, thus only one receiver clock parameter is needed for both systems. The inter-frequency bias of GLONASS satellites also cancels in the SDBE, so cycle slips are preserved as integers, and the LAMBDA method is adopted to search for cycle slips. Data from 7 days of 20 globally distributed IGS sites were selected to test the proposed cycle slip fixing procedure with artificial blocking of the signal; cycle slips were introduced for all un-blocked satellites at each epoch. For a 30-s sampling interval, the average success rate of fixing can be improved from 73 to 98 % by adding GLONASS. Even for a 180-s sampling interval, GPS + GLONASS can achieve a success rate of 81 %. A real-time kinematic PPP experiment was also performed, and the results show that using GPS + GLONASS can achieve continuous high-accuracy real-time PPP without re-convergence.

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Acknowledgments

This study is based on an improved Positioning and Navigation Data Analyst (PANDA) software package which was originally developed by Wuhan University. This work is supported by National 973 Program of China (No. 2012CB957701), National Natural Science Foundation of China (Nos. 41074008, 41374034, 41404010, 41104024), Research Fund for the Doctoral Program of Higher Education of China (No. 20120141110025), Non-profit Industry Financial Program of MWR (No. 201401072). The authors thank the IGS, EPN, and the ESA IGS analysis center for providing the data and products. The thanks also go to Professor Xiaoji Niu and Ph.D student Yahao Chen for Net-RTK data processing. Finally, the authors are also very grateful for the comments and remarks of the reviewers and the chief editor, which helped to significantly improve the manuscript.

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Correspondence to Weiwei Song.

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Ye, S., Liu, Y., Song, W. et al. A cycle slip fixing method with GPS + GLONASS observations in real-time kinematic PPP. GPS Solut 20, 101–110 (2016). https://doi.org/10.1007/s10291-015-0439-3

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