Abstract：In recent years, Global Navigation Satellite Systems (GNSSs) have become integral to our daily lives because of their precise positioning and navigation capabilities. Widespread use of smartphones equipped with GNSS receivers results in the generation of a huge amount of positioning data. Therefore, real-time cloud computing has emerged as a promising approach to effectively leverage this wealth of location information. In this study, we developed an Android app that captures raw GNSS data from smartphones, leverages cloud computing resources, calculates the position of the device, and returns the computed solution to the user. Integration of cloud-based processing not only conserves the device resources but also enables real-time position calculation, paving the way for enhanced location-based applications and services.
KeyWord：Real-time GNSS; Smartphone; Cloud computing; Android;

相关文献：
1.Detecting outliers in local ionospheric model for GNSS precise positioning
2.M_IFCB: a MATLAB-based software for multi‑GNSS inter‑frequency clock bias estimation and forecast
3.GRIMS: global and regional ionosphere monitoring system
4.Characteristics of Beidou-2 flex power and its impact on precise point positioning with ambiguity resolution
5.gdcov2sinex: a Python conversion tool from GipsyX’s gdcov file to SINEX file
6.Compact RTK for expanded area (COREA): a new method for carrier-phase-based satellite augmentation system
7.Real-time LEO satellite clock estimation with predicted LEO satellite orbits constrained
8.Correction: Observations and positioning quality of low-cost GNSS receivers: a review
9.Gnssrefl: an open source software package in python for GNSS interferometric reflectometry applications
10.Evaluation of tropospheric estimates from CentipedeRTK, a collaborative network of low-cost GNSS stations