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A Comprehensive Analysis of Smartphone GNSS Range Errors in Realistic Environments.
Jiahuan Hu1, Ding Yi1, Sunil Bisnath1
1Department of Earth and Space Science and Engineering, York University, Toronto, ON M3J 1P3, Canada.
Sensors (Basel, Switzerland)
|February 11, 2023
Summary
Smartphone Global Navigation Satellite System (GNSS) range errors were numerically estimated in realistic environments. This research quantifies errors to improve precise positioning accuracy and measurement quality control.
Area of Science:
- Geomatics Engineering
- Satellite Navigation Systems
- Mobile Device Sensing
Background:
- Google's Android platform now provides raw Global Navigation Satellite System (GNSS) measurements, enabling precise smartphone positioning.
- Key limitations include the quality and availability of satellite-to-smartphone ranging measurements, with ongoing research into modeling signal issues.
- Existing studies assess GNSS pseudorange and carrier-phase measurement quality across diverse environments.
Purpose of the Study:
- To numerically estimate actual range errors in smartphone GNSS precise positioning within realistic environmental conditions.
- To analyze the distribution and correlation of range errors with prefit residuals.
- To compare range errors across different satellite constellations for enhanced measurement understanding.
Main Methods:
- Utilized a geodetic receiver as a reference for numerical estimation of smartphone GNSS range errors.
- Evaluated range errors in various environments, including smartphones placed on car dashboards and roofs.
- Analyzed the distribution of range errors and their correlation to prefit residuals, comparing different satellite constellations.
Main Results:
- Quantified actual range errors in smartphone GNSS precise positioning under realistic environmental conditions.
- Detailed analysis of range error distribution and its correlation with prefit residuals.
- Provided a comparative analysis of range errors across different GNSS constellations.
Conclusions:
- The study provides quantitative insights into smartphone GNSS measurement behavior and range errors.
- Findings can inform improvements in measurement quality control for precise positioning.
- Optimized stochastic modeling and position estimation processes can be developed based on this understanding.
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