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Some Design Considerations in Passive Indoor Positioning Systems
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT). Malmö University, Internet of Things and People (IOTAP). Sony Europe BV, S-22362 Lund, Sweden..ORCID iD: 0000-0003-1858-9645
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT). Malmö University, Internet of Things and People (IOTAP).ORCID iD: 0000-0002-6019-1182
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT). Malmö University, Internet of Things and People (IOTAP).ORCID iD: 0000-0002-4261-281X
Malmö University, Internet of Things and People (IOTAP). Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).ORCID iD: 0000-0002-9471-8405
2023 (English)In: Sensors, E-ISSN 1424-8220, Vol. 23, no 12, article id 5684Article in journal (Refereed) Published
Abstract [en]

User location is becoming an increasingly common and important feature for a wide range of services. Smartphone owners increasingly use location-based services, as service providers add context-enhanced functionality such as car-driving routes, COVID-19 tracking, crowdedness indicators, and suggestions for nearby points of interest. However, positioning a user indoors is still problematic due to the fading of the radio signal caused by multipath and shadowing, where both have complex dependencies on the indoor environment. Location fingerprinting is a common positioning method where Radio Signal Strength (RSS) measurements are compared to a reference database of previously stored RSS values. Due to the size of the reference databases, these are often stored in the cloud. However, server-side positioning computations make preserving the user's privacy problematic. Given the assumption that a user does not want to communicate his/her location, we pose the question of whether a passive system with client-side computations can substitute fingerprinting-based systems, which commonly use active communication with a server. We compared two passive indoor location systems based on multilateration and sensor fusion using an Unscented Kalman Filter (UKF) with fingerprinting and show how these may provide accurate indoor positioning without compromising the user's privacy in a busy office environment.

Place, publisher, year, edition, pages
MDPI, 2023. Vol. 23, no 12, article id 5684
Keywords [en]
BLE, fingerprinting, indoor positioning, multilateration, RSSI, privacy
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:mau:diva-61951DOI: 10.3390/s23125684ISI: 001017806900001PubMedID: 37420850Scopus ID: 2-s2.0-85163999180OAI: oai:DiVA.org:mau-61951DiVA, id: diva2:1788887
Available from: 2023-08-17 Created: 2023-08-17 Last updated: 2023-10-03Bibliographically approved
In thesis
1. Scaling Indoor Positioning: improving accuracy and privacy of indoor positioning
Open this publication in new window or tab >>Scaling Indoor Positioning: improving accuracy and privacy of indoor positioning
2023 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Our phones have many uses for positioning technologies, such as navigation, LocationBased Services (LBS), emergency positioning, fitness applications, and advertising. We trust our phones and wearables to be location-aware. However, as soon as we enter a building, we can no longer use GPS signals, as their already weak signals are well below the background noise of the environment. This requires us to develop alternatives, such as installing active radio beacons, using existing radio infrastructure, applying environmental sensing based on barometric pressure and magnetic fields, or utilizing Inertial Measurement Units (IMUs) to estimate the user location. This licentiate thesis aims to evaluate beacon-based indoor positioning, where we assume installing a set of small battery-powered Bluetooth low-energy (BLE) beacons are possible. In particular, the thesis addresses essential factors such as installation effort, accuracy, the privacy aspects of an Indoor Positioning System(IPS), and mitigation of accuracy issues related to radio signal shadowing in complex indoor environments. The goal is to solve some obstacles to the widespread adoption of indoor positioning solutions.

Place, publisher, year, edition, pages
Malmö: Malmö University Press, 2023. p. 61
Series
Studies in Computer Science ; 24
National Category
Computer Sciences
Identifiers
urn:nbn:se:mau:diva-62916 (URN)10.24834/isbn.9789178774234 (DOI)978-91-7877-422-7 (ISBN)978-91-7877-423-4 (ISBN)
Presentation
2023-11-07, F415, Orkanen, Nordenskiöldsg. 10, 15:00
Opponent
Supervisors
Available from: 2023-10-03 Created: 2023-10-03 Last updated: 2023-11-17Bibliographically approved

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Engström, JimmyJevinger, ÅseOlsson, Carl MagnusPersson, Jan A.

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