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5G assisted GNSS precise point positioning ambiguity resolution

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Abstract

This study proposes a model using 5G time-of-arrival data to assist global navigation satellite system precise point positioning ambiguity resolution. Specifically, the model addresses the problem of PPP requiring a long convergence time in partially satellite-occluded GNSS environments, such as urban canyons. First, we apply the ionosphere-free PPP model to estimate uncalibrated phase delays. Next, we combine real 5G data with GNSS data to determine whether introducing 5G observations will decrease the convergence time of the PPP solution. Experimental results reveal that the 5G-assisted PPP model can effectively improve the convergence efficiency of the float solution, lower the fixed time, and achieve greater positional reliability. Notably, the combination of GPS, BDS, and 5G with a sampling interval of 1 s obtains a fixed solution in an average of 1.12 min. Moreover, 5G-assisted GNSS positioning effectively compensates for partial satellite occlusion, optimizes the PDOP value, and speeds up ambiguity fixing. The introduction of three and more 5G base stations helps to obtain fixed solutions within 9 min when it is difficult to obtain fixed solutions relying only on GNSS. Our findings have important implications for improving the widespread applicability and effectiveness of satellite-based navigation systems in light of increasing urbanization and the rise of signal-occluding environments.

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Acknowledgements

The work was supported by the National Natural Science Foundation of China (Grant No: 41974032, 42274019).

Funding

Innovative Research Group Project of the National Natural Science Foundation of China, 41974032, rui tu, 42274019, rui tu

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Authors and Affiliations

  1. College of Geodesy and Geomatics, Shandong University of Science and Technology, Qian Wan Road, Qingdao, 266590, China

    Rui Tu

  2. National Time Service Center, Chinese Academy of Sciences, Shu Yuan Road, Xi’an, 710600, China

    Fangxin Li, Rui Tu, Pengfei Zhang, Rui Zhang, Lihong Fan, Siyao Wang & Xiaochun Lu

  3. University of Chinese Academy of Sciences, Yu Quan Road, Beijing, 100049, China

    Fangxin Li, Rui Tu, Pengfei Zhang, Rui Zhang, Lihong Fan, Siyao Wang & Xiaochun Lu

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  1. Fangxin Li
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Contributions

Fangxin Li and Rui Tu provided the initial idea for this work and write this manuscript; Fangxin Li designed the algorithm. Fangxin Li, Rui Tu and Pengfei Zhang, Rui Zhang contributed to the analyses of results. Lihong Fan, Siyao Wang and Xiaochun Lu contributed to the collection and analysis of field test data. Fangxin Li and Rui Tu plotted these graphs.

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Correspondence to Rui Tu.

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Li, F., Tu, R., Zhang, P. et al. 5G assisted GNSS precise point positioning ambiguity resolution. J Geod 98, 36 (2024). https://doi.org/10.1007/s00190-024-01850-5

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