RSSI and Device Pose Fusion for Fingerprinting-Based Indoor Smartphone Localization Systems

Imran Moez Khan (), Andrew Thompson, Akram Al-Hourani, Kandeepan Sithamparanathan and Wayne S. T. Rowe
Additional contact information
Imran Moez Khan: College of Science, Technology, Engineering and Mathematics, RMIT University, Melbourne, VIC 3000, Australia
Andrew Thompson: Robert Bosch Australia & New Zealand, Melbourne, VIC 3168, Australia
Akram Al-Hourani: College of Science, Technology, Engineering and Mathematics, RMIT University, Melbourne, VIC 3000, Australia
Kandeepan Sithamparanathan: College of Science, Technology, Engineering and Mathematics, RMIT University, Melbourne, VIC 3000, Australia
Wayne S. T. Rowe: College of Science, Technology, Engineering and Mathematics, RMIT University, Melbourne, VIC 3000, Australia

Future Internet, 2023, vol. 15, issue 6, 1-17

Abstract: Complementing RSSI measurements at anchors with onboard smartphone accelerometer measurements is a popular research direction to improve the accuracy of indoor localization systems. This can be performed at different levels; for example, many studies have used pedestrian dead reckoning (PDR) and a filtering method at the algorithm level for sensor fusion. In this study, a novel conceptual framework was developed and applied at the data level that first utilizes accelerometer measurements to classify the smartphone’s device pose and then combines this with RSSI measurements. The framework was explored using neural networks with room-scale experimental data obtained from a Bluetooth low-energy (BLE) setup. Consistent accuracy improvement was obtained for the output localization classes (zones), with an average overall accuracy improvement of 10.7 percentage points for the RSSI-and-device-pose framework over that of RSSI-only localization.

Keywords: indoor localization systems; RF fingerprinting; device pose; RSSI (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1999-5903/15/6/220/pdf (application/pdf)
https://www.mdpi.com/1999-5903/15/6/220/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jftint:v:15:y:2023:i:6:p:220-:d:1175198

Access Statistics for this article

Future Internet is currently edited by Ms. Grace You

More articles in Future Internet from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().