Intelligent fusion of wi-fi and inertial sensor-based positioning systems for indoor pedestrian navigation

Lyu Han Chen, Eric Hsiao Kuang Wu, Ming Hui Jin, Gen Huey Chen

Research output: Contribution to journalArticlepeer-review

134 Scopus citations

Abstract

Indoor positioning systems based on wireless local area networks are growing rapidly in importance and gaining commercial interest. Pedestrian dead reckoning (PDR) systems, which rely on inertial sensors, such as accelerometers, gyroscopes, or even magnetometers to estimate users' movement, have also been widely adopted for real-time indoor pedestrian location tracking. Since both kinds of systems have their own advantages and disadvantages, a maximum likelihood-based fusion algorithm that integrates a typical Wi-Fi indoor positioning system with a PDR system is proposed in this paper. The strength of the PDR system should eliminate the weakness of the Wi-Fi positioning system and vice versa. The intelligent fusion algorithm can retrieve the initial user location and moving direction information without requiring any user intervention. Experimental results show that the proposed positioning system has better positioning accuracy than the PDR system or Wi-Fi positioning system alone.

Original languageEnglish
Article number6834746
Pages (from-to)4034-4042
Number of pages9
JournalIEEE Sensors Journal
Volume14
Issue number11
DOIs
StatePublished - 1 Nov 2014

Keywords

  • Dead reckoning
  • WLAN
  • indoor positioning
  • received signal strength
  • sensor

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