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Related Experiment Video

Updated: Sep 21, 2025

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Optimizing the Use of RTKLIB for Smartphone-Based GNSS Measurements.

Tim Everett¹, Trey Taylor², Dong-Kyeong Lee²

¹RTK Consultants LLC, Niwot, CO 80503, USA.

Sensors (Basel, Switzerland)

|May 28, 2022

Summary

This summary is machine-generated.

Optimizing RTKLIB software for Android smartphones improved positioning accuracy in the Google Smartphone Decimeter Challenge. Modifications to the codebase and settings enabled RTKLIB to achieve 5th place, demonstrating enhanced performance with mobile device Global Navigation Satellite System data.

Keywords:

Android DGNSS GNSS Google PPK RTK RTKLIB carrier decimeter smartphone

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Area of Science:

Geomatics Engineering
Mobile Sensing
Satellite Navigation

Background:

The Google Smartphone Decimeter Challenge (GSDC) aimed to assess the accuracy of Global Navigation Satellite System (GNSS) positioning using Android smartphones.
RTKLIB, an open-source GNSS processing tool, offers Post-Processed Kinematic (PPK) solutions but was originally designed for geodetic receivers, not smartphones.
Smartphone GNSS measurements exhibit lower quality compared to geodetic receivers, posing challenges for achieving high-accuracy positioning.

Purpose of the Study:

To optimize the performance of RTKLIB for processing GNSS data from Android smartphones.
To adapt RTKLIB's codebase and default settings for the specific characteristics of mobile phone measurements.
To evaluate the effectiveness of these optimizations in the context of the GSDC competition.

Main Methods:

Focused on the Post-Processed Kinematic (PPK) capabilities of RTKLIB for analyzing historical GSDC data.
Implemented modifications to RTKLIB's codebase and adjusted default processing parameters.
Documented the specific changes and provided steps for replication of the results.

Main Results:

The optimized RTKLIB achieved a 5th place ranking in the GSDC competition based on its performance.
Adjustments successfully addressed limitations of the original RTKLIB when applied to lower-quality smartphone GNSS data.
The enhanced codebase and methodology provide a foundation for future improvements in smartphone-based positioning.

Conclusions:

RTKLIB can be effectively optimized for Android smartphone GNSS measurements through code and setting adjustments.
The modifications are crucial for overcoming the inherent quality differences between smartphone and geodetic receivers.
This work offers a practical procedure for improving smartphone-based positioning accuracy and serves as a benchmark for future challenges.