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Researchers developed a portable app to map Global Navigation Satellite System (GNSS) interference in real-time. Crowdsourcing shows promise for monitoring and mapping GNSS interference distribution.

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Area of Science:

  • Navigation Systems
  • Signal Processing
  • Geomatics Engineering

Background:

  • Global Navigation Satellite System (GNSS) signals are crucial for positioning and timing.
  • Interference sources can degrade GNSS signal quality and availability.
  • Existing methods for detecting interference can be complex and limited in scope.

Purpose of the Study:

  • To present a simple and portable application for real-time mapping of GNSS interference.
  • To evaluate the effectiveness of crowdsourcing for GNSS interference monitoring.
  • To demonstrate the potential for mapping GNSS interference distribution.

Main Methods:

  • Development of a portable application for data collection.
  • Real-time mapping of identified interference sources.
  • Utilizing crowdsourcing for widespread data acquisition.

Main Results:

  • The developed application successfully mapped GNSS interference sources in real-time.
  • Promising results indicate the feasibility of the crowdsourcing approach.
  • Demonstrated the potential for comprehensive mapping of interference distribution.

Conclusions:

  • A simple, portable application can effectively map GNSS interference.
  • Crowdsourcing is a viable strategy for monitoring GNSS interference.
  • This approach facilitates understanding of GNSS interference patterns.