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Cloud-Based Single-Frequency Snapshot RTK Positioning.

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|June 2, 2021
PubMed
Summary
This summary is machine-generated.

Cloud-based Snapshot Real Time Kinematics (SRTK) offers high accuracy for Internet of Things (IoT). This study confirms SRTK feasibility, achieving centimeter-level positioning with over 93% fix rates using small data snapshots.

Keywords:
cloud-based positioningcoarse time navigationinteger ambiguity resolutionprecise positioningsatellite-based navigationsnapshot RTK

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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.