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Algorithm for Dynamic Fingerprinting Radio Map Creation Using IMU Measurements.

Peter Brida1, Juraj Machaj1, Jan Racko1

  • 1Department of Multimedia and Information Communication Technology, Faculty of Electrical Engineering and Information, University of Zilina, Univerzitna 1, 01026 Zilina, Slovakia.

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

This study introduces a dynamic radio map creation method for Wi-Fi indoor positioning systems. It uses inertial measurement units (IMUs) and a particle filter to reduce map creation time while maintaining accuracy.

Keywords:
IMUWi-Fidead reckoningfingerprintinglocalizationparticle filterpositioning

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Robotics

Background:

  • Satellite-based positioning systems are unreliable indoors.
  • Wi-Fi fingerprinting is a common indoor positioning method but requires extensive radio map creation.
  • Existing methods for radio map creation are time-consuming.

Purpose of the Study:

  • To propose a dynamic radio map creation solution for Wi-Fi indoor positioning.
  • To reduce the time and effort required for building radio maps.
  • To maintain positioning accuracy with optimized radio maps.

Main Methods:

  • Utilizing measurements from Inertial Measurement Units (IMUs).
  • Employing a particle filter dead reckoning algorithm to generate reference points (RPs).
  • Implementing a reference point merging algorithm to optimize radio map size and merge similar RPs.

Main Results:

  • The dynamic radio map creation method was tested in a real-world environment.
  • Positioning accuracy with the dynamic map was comparable to static radio maps.
  • Similar accuracy was achieved even with a low density of reference points in the dynamic map.

Conclusions:

  • Dynamic radio map creation using IMUs and particle filters is a viable alternative to static maps.
  • The proposed method significantly reduces radio map creation time.
  • Accurate indoor positioning can be achieved with optimized, less dense radio maps.