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Assisted-GNSS positioning algorithm based on one-way fuzzy time information.

Rundong Li1, Peng Wu1, Lu Feng1

  • 1College of Electronic Communication and Electrical Engineering, Changsha University, Changsha, 410022, China.

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Summary
This summary is machine-generated.

This study introduces a novel positioning algorithm for Global Navigation Satellite System (GNSS) receivers. It enhances accuracy with fuzzy time information, even during rotation, without increasing computational load.

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Area of Science:

  • Satellite Navigation
  • Geomatics Engineering
  • Signal Processing

Background:

  • Traditional auxiliary positioning algorithms face limitations in accuracy with approximate position and time data.
  • Increased computational load and potential failure occur when auxiliary information exceeds precision requirements.

Purpose of the Study:

  • To develop a positioning algorithm for GNSS receivers that overcomes limitations of traditional methods, especially under fuzzy time conditions.
  • To improve positioning accuracy and reliability for satellite navigation systems.

Main Methods:

  • A positioning algorithm based on one-way fuzzy time assistance is proposed.
  • Utilizes reference information within ephemeris data for searching and verifying approximate time information.
  • Designed for GNSS satellite navigation receivers operating with imprecise time data, such as during rotation.

Main Results:

  • The proposed method accurately calculates exact positions despite errors in approximate position information.
  • Successfully enables positioning under rotational conditions where traditional methods fail.
  • Achieves accurate positioning results with reduced computational effort.

Conclusions:

  • The one-way fuzzy time assisted positioning algorithm offers a practical solution for GNSS receivers.
  • It enhances positioning accuracy and robustness, particularly in challenging environments with limited time precision.
  • Demonstrates significant engineering value by improving satellite navigation system performance without added computational complexity.