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Real-Time Recursive Fingerprint Radio Map Creation Algorithm Combining Wi-Fi and Geomagnetism.

Ju-Hyeon Seong1, Dong-Hoan Seo2

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Summary

This study introduces a new method for indoor positioning using Wi-Fi and geomagnetism. The algorithm efficiently creates and optimizes radio maps in real-time, improving positioning accuracy and reducing map size.

Keywords:
Wi-Fifingerprintgeomagnetismminimum description length principle (MDLP)radio map

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Geophysics

Background:

  • Indoor positioning systems (IPS) commonly use fingerprinting algorithms based on wireless signal strength.
  • Accurate and efficient radio map creation is crucial for the performance of fingerprinting-based IPS.
  • Existing methods require significant time and resources for radio map generation and management.

Purpose of the Study:

  • To propose a novel real-time recursive radio map creation algorithm combining Wi-Fi and geomagnetism.
  • To reduce the time and computational resources needed for radio map generation.
  • To optimize radio map dimensions for improved efficiency and reduced storage.

Main Methods:

  • Developed a geomagnetic radio-map dual processing (GRDP) technique for automatic radio map recreation.
  • Implemented an entropy-based minimum description length principle (MDLP) for active radio map dimension optimization.
  • Integrated Wi-Fi signal strength data with geomagnetic field data for enhanced positioning.

Main Results:

  • The proposed system achieved comparable radio map creation time to Wi-Fi-only systems.
  • Geomagnetic radio maps demonstrated over 80% positioning accuracy.
  • Combined Wi-Fi and geomagnetic radio map dimensions were reduced by 23.81% compared to initial maps.
  • The system automatically adapted and reduced map dimensions in different environments.

Conclusions:

  • The proposed algorithm offers an efficient and accurate method for real-time radio map creation in indoor positioning.
  • Combining Wi-Fi and geomagnetism enhances positioning accuracy while optimizing radio map size.
  • The GRDP and MDLP methods provide a scalable solution for dynamic and diverse indoor environments.