Research of Precise Point Positioning Model Based on Smartphone

Smartphones usually use poor performance of linear polarization antenna and low-cost positioning chip, which leads to the existence of a large number of pseudorange observation gross errors, carrier phase observation cycle slips and other issues, seriously affecting the positioning accuracy of smartphones. In order to evaluate the positioning performance of the smartphone precise point positioning model, this paper uses Huawei mate30 smartphone to carry out static and dynamic experiments, from the aspects of model parameters, positioning accuracy, and posterior residuals, the positioning performance of the uncombined model, the single-frequency constraints model, the dual-clock offsets model and the single and dual-frequency model are compared and analyzed. The results show that among the four models, the single and dual-frequency model is more suitable for processing smartphone GNSS observation data. In the plane and elevation directions, the positioning accuracy of the model is improved compared with other models, and the elevation direction is significantly improved. At the same time, the model also performs best in terms of posterior residuals. In static mode, the horizontal direction positioning accuracy of the model is 0.466 m, and the vertical direction positioning accuracy is 0.351 m. In dynamic mode, the horizontal direction positioning accuracy of the model is 1.214 m, and the vertical direction positioning accuracy is 1.453 m. The positioning accuracy in both static and dynamic scenarios can meet the vast majority of daily life needs to use smartphones.