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Study on an Indoor Positioning System for Harsh Environments Based on Wi-Fi and Bluetooth Low Energy.

Gabriel de Blasio1, Alexis Quesada-Arencibia2, Carmelo R García3

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This study introduces a Wi-Fi and Bluetooth Low Energy (BLE) positioning system for challenging public transport environments. The system achieves promising accuracy for assisting people with special needs.

Keywords:
BLEWLANindoor positioning systemintelligent transport systemubiquitous computing

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Area of Science:

  • Wireless communication
  • Indoor positioning systems
  • Assistive technologies

Background:

  • Public transportation hubs present "hostile" environments for positioning due to signal noise, multipath fading, and NLOS conditions.
  • Existing wireless infrastructure may not be optimally deployed for precise location services.
  • There is a need for reliable positioning systems to assist people with special needs in these environments.

Purpose of the Study:

  • To develop and evaluate a hybrid Wi-Fi and BLE positioning system for public transportation terminals.
  • To assess the system's performance in challenging real-world conditions.
  • To provide advanced information services, particularly for users with special needs.

Main Methods:

  • A hybrid approach using Wi-Fi for rough positioning and BLE for fine positioning.
  • Utilized weighted k-nearest neighbor algorithm for fingerprint comparison.
  • Employed Euclidean and Mahalanobis distances for scene analysis.

Main Results:

  • Wi-Fi positioning achieved accuracy of 3.94–4.82 m and precision of 5.21–7.0 m (90% of the time) with three access points.
  • BLE positioning achieved accuracy of 1.47–2.15 m and precision of 1.81–3.58 m (90% of the time) with low beacon density.
  • Results demonstrate promising performance in a high-fluctuation environment.

Conclusions:

  • The hybrid Wi-Fi and BLE system is effective for positioning in challenging public transport environments.
  • The system provides reasonable accuracy and precision, suitable for real-world applications.
  • This technology has the potential to significantly enhance services for people with special needs.