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Smartphone-Based Cooperative Indoor Localization with RFID Technology.

Fernando Seco1, Antonio R Jiménez2

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Summary

Cooperative localization using smartphones enhances indoor positioning accuracy by sharing radio frequency (RF) signal strength data between users. This method improves location tracking, especially in areas with limited fixed beacons.

Keywords:
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Area of Science:

  • Indoor localization and tracking
  • Cooperative positioning systems
  • Wireless sensor networks

Background:

  • Global Positioning System (GPS) is unavailable in indoor environments.
  • Existing methods rely on Received Signal Strength (RSS) from anchor nodes and Pedestrian Dead Reckoning (PDR).
  • Individual localization accuracy is limited, especially with sparse anchor nodes.

Purpose of the Study:

  • To propose a centralized cooperative particle filter (PF) for enhanced indoor localization.
  • To integrate RSS measurements from both anchor and mobile nodes (user-carried emitters).
  • To improve positioning accuracy by leveraging cooperative data exchange and sensor fusion.

Main Methods:

  • Developed a centralized cooperative particle filter (PF) formulation for joint state estimation of multiple users.
  • Utilized smartphones for acquiring RSS measurements, PDR data, and map information.
  • Processed exchanged RSS measurements between users and from anchor nodes at a central unit.

Main Results:

  • Cooperative PF improved median localization error from 6.1 m (individual RSS) to 4.9 m.
  • Integrating PDR data further reduced errors to 2.6 m (cooperative) from 3.1 m (individual).
  • Incorporating map information yielded the best results: 1.6 m (cooperative) vs. 1.8 m (individual).

Conclusions:

  • Cooperative localization significantly outperforms individual localization in indoor environments.
  • The proposed PF approach effectively fuses data from multiple sources (RSS, PDR, maps).
  • This method offers a practical solution for accurate people tracking using smartphones.