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Global Positioning System (GPS) technology has revolutionized navigation and positioning, but its accuracy is often compromised by various errors. These errors, stemming from environmental, satellite, and receiver-related factors, require careful mitigation to ensure reliable performance across applications.Atmospheric ErrorsGPS signals travel through the Earth’s ionosphere and troposphere, introducing delays which affect accuracy. The ionosphere is strongly influenced by charged particles,...
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A comprehensive method for GNSS data quality determination to improve ionospheric data analysis.

Minchan Kim1, Jiwon Seo2, Jiyun Lee3

  • 1Division of Aerospace Engineering, Korea Advanced Institute of Science and Technology, 291 Daehak-ro, Daejeon 305-701, Korea. alsckszz@kaist.ac.kr.

Sensors (Basel, Switzerland)
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Summary
This summary is machine-generated.

This study introduces a new method to assess Global Navigation Satellite Systems (GNSS) data quality for ionospheric research. It helps identify reliable GNSS stations, improving ionospheric measurement accuracy.

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Area of Science:

  • Geophysics
  • Space Science
  • Atmospheric Science

Background:

  • Global Navigation Satellite Systems (GNSS) offer cost-effective global ionospheric monitoring.
  • Increasing GNSS network expansion leads to more poor-quality data, degrading ionospheric study accuracy.

Purpose of the Study:

  • Develop a comprehensive method to assess GNSS observation quality for ionospheric studies.
  • Identify key GNSS data quality parameters impacting ionospheric products.

Main Methods:

  • Developed algorithms to compute critical GNSS data quality parameters.
  • Analyzed data quality from the Continuously Operating Reference Stations (CORS) network in the conterminous United States (CONUS).

Main Results:

  • GNSS data quality varies significantly across stations and persists over time.
  • The proposed method's quality parameters correlate better with ionospheric data quality than conventional methods.

Conclusions:

  • A combination of data quality parameters effectively selects high-quality GNSS stations.
  • The method enhances the performance of ionospheric data analysis by improving data selection.