IDEAS home Printed from https://ideas.repec.org/a/spr/telsys/v88y2025i1d10.1007_s11235-024-01230-6.html
   My bibliography  Save this article

Particle filter-based BLE and IMU fusion algorithm for indoor localization

Author

Listed:
  • Ostap Dyhdalovych

    (Ukrainian Catholic University)

  • Andrii Yaroshevych

    (Ukrainian Catholic University)

  • Oleg Kapshii

    (Infineon Technologies AG)

  • Igor Kravets

    (Infineon Technologies AG
    Ivan Franko National University of Lviv)

  • Oleg Farenyuk

    (Ukrainian Catholic University
    Institute for Condensed Matter Physics of NAS of Ukraine)

Abstract

Indoor positioning systems have become increasingly popular due to the growing demand for location-based services in various domains. While effective outdoors, traditional Global Positioning System (GPS) technologies are often unsuitable for indoor environments due to their reliance on satellite signals, which are severely attenuated or obstructed indoors. This limitation underscores the need for alternative indoor localization solutions. Bluetooth Low Energy (BLE) has emerged as a favorable solution for indoor localization, thanks to its widespread deployment in smartphones and other consumer devices, providing a low-cost and energy-efficient option. However, BLE-based localization is frequently challenged by signal interference and multipath effects, which degrade the system’s accuracy. This work presents a novel approach that fuses BLE and Inertial Measurement Unit (IMU) data to address these limitations and enhance indoor positioning accuracy. Our approach employs a Multi-Carrier Phase Difference method for precise BLE-based distance estimation, which is subsequently combined with IMU data through a particle filter framework. The IMU data are processed using the Madgwick filter and a step-detection model to capture motion dynamics accurately. The fusion model demonstrates substantial improvements in localization accuracy, with experimental results showing up to a 25% reduction in measurement errors, especially in challenging and complex indoor environments.

Suggested Citation

  • Ostap Dyhdalovych & Andrii Yaroshevych & Oleg Kapshii & Igor Kravets & Oleg Farenyuk, 2025. "Particle filter-based BLE and IMU fusion algorithm for indoor localization," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 88(1), pages 1-14, March.
  • Handle: RePEc:spr:telsys:v:88:y:2025:i:1:d:10.1007_s11235-024-01230-6
    DOI: 10.1007/s11235-024-01230-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11235-024-01230-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11235-024-01230-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:telsys:v:88:y:2025:i:1:d:10.1007_s11235-024-01230-6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.