Cloud-Based Single-Frequency Snapshot RTK Positioning

Area of Science:

• Geomatics Engineering
• Satellite Navigation Systems
• Internet of Things (IoT)

Background:

• Cloud-based Snapshot Real Time Kinematics (SRTK) is a promising technology for IoT applications.
• Previous work confirmed the feasibility of SRTK under zero-baseline configurations.

Purpose of the Study:

• To introduce the SRTK engine workflow and discuss challenges with real snapshot data.
• To present a novel solution for nanosecond-level timing accuracy for precise satellite coordinate computation.
• To analyze the impact of signal bandwidth, integration time, and baseline distances on SRTK performance.

Main Methods:

• Experimental testing of various SRTK parameter combinations (bandwidth, integration time, baseline).
• Development of a timing accuracy solution for precise satellite coordinate calculation.
• Analysis of SRTK fix rates and positioning accuracy based on data size and baseline distance.

Main Results:

• Higher signal bandwidths and longer integration times increase SRTK fix rates.
• Baseline distance significantly impacts SRTK performance.
• SRTK achieves over 93% fix rates with 255 kB snapshots.
• Centimeter-level positioning accuracy is attainable with baselines ≤ 15 km.

Conclusions:

• SRTK demonstrates high potential for precise positioning in IoT scenarios.
• Optimizing parameters like bandwidth, integration time, and baseline is crucial for SRTK performance.
• The proposed timing accuracy solution enables reliable SRTK operation.