Smartphone GNSS Data Quality Analysis and Stochastic Model Establishment
Abstract To improve the positioning accuracy of mobile intelligent terminals, we analyze the observation data of multiple satellite systems collected by Xiaomi Mi8 and Huawei Mate20 smartphones, estimate the parameters of signal-to-noise ratio model based on pseudorange residuals of different satellite systems, and finally carry out the static pseudorange single-point positioning experiment. The results show that the pseudorange accuracy of BDS and GPS observed on mobile phones is close to each other and is higher than that of GLONASS. The correlation between pseudorange residual and SNR is stronger compared to elevation angle. In the parameter estimation of SNR model, the fitting effect of Xiaomi Mi8 is better than that of Huawei Mate20. The fitting effect of BDS is worse than that of other satellite systems, and the horizontal positioning and elevation positioning accuracy of SNR model after parameter fitting are 2.37 meter and 8.38 meter, respectively, which is about 10% higher than that of elevation model.
Key words :
smartphone
data quality analysis
SNR model
parameter fitting
positioning accuracy
Cite this article:
ZHAO Xingwang,TAO Andi,CHEN Jian et al. Smartphone GNSS Data Quality Analysis and Stochastic Model Establishment[J]. jgg, 2024, 44(7): 661-666.
ZHAO Xingwang,TAO Andi,CHEN Jian et al. Smartphone GNSS Data Quality Analysis and Stochastic Model Establishment[J]. jgg, 2024, 44(7): 661-666.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2024/V44/I7/661
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