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Article

Estimating and Analyzing Long-Term Multi-GNSS Inter-System Bias Based on Uncombined PPP

Information Engineering University, Zhengzhou 450001, China
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Authors to whom correspondence should be addressed.
Sensors 2020, 20(5), 1499; https://doi.org/10.3390/s20051499
Received: 18 December 2019 / Revised: 21 January 2020 / Accepted: 27 January 2020 / Published: 9 March 2020
(This article belongs to the Section Remote Sensors)
With the development of precise positioning with multi-GNSS, the inter-system bias (ISB) has become an issue that cannot be ignored. ISB is introduced from the differences among satellite reference clocks and different receiver hardware delay biases. To analyze the characteristics of multi-GNSS ISB, the precise point positioning (PPP) with full-rank uncombined model was derived for GLONASS, BDS, GALILEO, while the GPS receiver clock was selected as the reference. In addition, a recommended ISB parameter processing model was adopted. Data of 28-days from the Multi-GNSS Experiment (MGEX) station was used to estimate and analyze the ISB parameters. Based on a statistical analysis of the acquired data, results demonstrate that: (a) The rms of multi-GNSS PPP positional bias can reach 4.6 mm, 3.4 mm and 8.5 mm for E, N and U directions, respectively, which guarantees the reliability and accuracy of the ISB parameter solution. (b) The intra-day ISB time series of the three groups is relatively stable with standard deviations less than 0.6 ns. The ISB parameters between the GALILEO and GPS system are the most stable and the standard deviation was the smallest, at about 0.37 ns, which may be related to the good signal quality of the GALILEO system. (c) The mean of the single-day solution of the ISB parameter is not stable and the amplitude of the jump can be up to 60 ns. However, each station shows a similar variation for the same ISB parameter on the same day. The situation is independent of the type of receiver and antenna; however, it may be affected by the satellite reference clock of different systems. (d) There is a clear relationship between the ISB parameters and receiver types. View Full-Text
Keywords: uncombined model; inter-system bias; multi-GNSS; receiver type; precise point positioning uncombined model; inter-system bias; multi-GNSS; receiver type; precise point positioning
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MDPI and ACS Style

Zhang, F.; Liu, C.; Xiao, G.; Zhang, X.; Feng, X. Estimating and Analyzing Long-Term Multi-GNSS Inter-System Bias Based on Uncombined PPP. Sensors 2020, 20, 1499. https://doi.org/10.3390/s20051499

AMA Style

Zhang F, Liu C, Xiao G, Zhang X, Feng X. Estimating and Analyzing Long-Term Multi-GNSS Inter-System Bias Based on Uncombined PPP. Sensors. 2020; 20(5):1499. https://doi.org/10.3390/s20051499

Chicago/Turabian Style

Zhang, Fan, Changjian Liu, Guorui Xiao, Xi Zhang, and Xu Feng. 2020. "Estimating and Analyzing Long-Term Multi-GNSS Inter-System Bias Based on Uncombined PPP" Sensors 20, no. 5: 1499. https://doi.org/10.3390/s20051499

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