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A Method to Reduce Non-Nominal Troposphere Error.

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  • 1School of Electronic Information Engineering, Beihang University, Beijing 100191, China. wangzhipeng@buaa.edu.cn.

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Summary
This summary is machine-generated.

A new satellite selection method for Ground-Based Augmentation System (GBAS) reduces troposphere errors. This improves Vertical Protection Level (VPL) accuracy, enhancing aviation safety under abnormal atmospheric conditions.

Keywords:
GBASVPLnon-nominal tropospheresatellite geometrytroposphere delay

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Area of Science:

  • Satellite Navigation Systems
  • Atmospheric Science
  • Aviation Safety

Background:

  • Ground-Based Augmentation System (GBAS) performance is degraded by tropospheric delay under abnormal atmospheric conditions, leading to non-nominal troposphere error.
  • Existing GBAS methods struggle to mitigate troposphere errors, impacting the Vertical Protection Level (VPL) and overall system integrity.
  • Analysis of tropospheric meteorological data from iGMAS and IGS stations in China during 2015-2016 revealed significant VPL increases (average 2.32 m) under non-nominal conditions.

Purpose of the Study:

  • To develop and validate a novel satellite selection method to mitigate non-nominal troposphere error and improve GBAS integrity.
  • To reduce the impact of tropospheric delay on the Vertical Protection Level (VPL) for enhanced aviation safety.
  • To optimize satellite geometry and minimize VPL while improving computational efficiency.

Main Methods:

  • Analyzed tropospheric meteorological data from eight iGMAS and 10 IGS stations in China (2015-2016).
  • Developed a satellite selection algorithm determining an optimal subset of 16 satellites based on VPL, troposphere error, and satellite geometry.
  • Selected optimal satellites across different elevation ranges to minimize non-nominal troposphere error.

Main Results:

  • The proposed satellite selection method reduced the average VPL increase caused by non-nominal troposphere error to 1.15 m.
  • The method effectively balances satellite geometry and troposphere error, significantly minimizing VPL.
  • Achieved substantial improvements in running rate: 390.91% over brute method and 111.65% over greedy method.

Conclusions:

  • The proposed satellite selection method enhances GBAS integrity by effectively reducing non-nominal troposphere error.
  • This approach leads to a more accurate VPL, crucial for safe aviation operations during adverse atmospheric conditions.
  • The method offers a computationally efficient solution for real-time GBAS applications.