Abstract:The original pseudo-range observations of smartphones are affected by their chips and antennas, so the measurement of pseudo-range observations has large noise and is seriously affected by multiple paths, resulting in inaccurate positioning and uneven trajectory. Therefore, we propose an adaptive switching filtering algorithm for inter-satellite carrier phase smoothing pseudo-range, inter-satellite Doppler smoothing pseudo-range and inter-satellite velocity constraint. It gives full play to the role of phase and Doppler observations, improves the accuracy of pseudo-range observations and smoothes pseudo-range noise. The experiment compares the positioning performance of smartphones in different environments such as single-frequency and dual-frequency, static and dynamic. The analysis results show that the effect of dual-frequency positioning is better than that of single-frequency positioning, and the adaptive switching filter positioning algorithm with inter-satellite difference speed constraint is best. The comparison of the tolerance pseudo-range shows that the accuracy of Xiaomi 8 in the plane direction and the elevation direction is increased by 1.49 m and 1.38 m respectively in the static environment, and that of Huawei P40 is increased by 2.11 m and 1.53 m respectively. In the dynamic environment, the accuracy of Xiaomi 8 in the plane and elevation direction is increased by 1.75 m and 1.25 m, and Huawei P40 is increased by 2.58 m and 1.85 m.
ZHU Huizhong,WANG Dongming,LI Junpeng et al. Research on Pseudo-Range Smoothing Algorithm of Single Difference Method Between Satellites for Android Smart Phones[J]. jgg, 2023, 43(6): 567-574.