Wi-Fi Based Indoor Positioning System Using Inertial Measurements View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2017-09-13

AUTHORS

Mstislav Sivers , Grigoriy Fokin , Pavel Dmitriev , Artem Kireev , Dmitry Volgushev , Al-odhari Abdulwahab Hussein Ali

ABSTRACT

Recent time Wi-Fi-based positioning leads in non-GNSS methods for indoor positioning. Globally existing infrastructure is the main advantage of Wi-Fi-based methods. Traditional methods or gathering data for RSSI Fingerprint offline mode require costly site survey. This paper presents a method of RSSI data acquisition connected with inertial navigation system (INS) that takes less time without loss of positioning accuracy. Proposed algorithm gives opportunities to detect location for users without MEMS-platform on their mobile devices. Furthermore, Kalman filter is developed to decrease measurement errors. We evaluated our system in real conditions. More... »

PAGES

734-744

References to SciGraph publications

  • 2016. Indoor Positioning in WiFi and NanoLOC Networks in INTERNET OF THINGS, SMART SPACES, AND NEXT GENERATION NETWORKS AND SYSTEMS
  • Book

    TITLE

    Internet of Things, Smart Spaces, and Next Generation Networks and Systems

    ISBN

    978-3-319-67379-0
    978-3-319-67380-6

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-319-67380-6_69

    DOI

    http://dx.doi.org/10.1007/978-3-319-67380-6_69

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1091664974


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