Gaussian processes for RSS fingerprints construction in indoor localization

Zhao, Y., Liu, C., Mihaylova, L.S. et al. (1 more author) (2018) Gaussian processes for RSS fingerprints construction in indoor localization. In: 2018 21st International Conference on Information Fusion (FUSION). 2018 21st International Conference on Information Fusion (FUSION), 10-13 Jul 2018, Cambridge, UK. IEEE , pp. 1377-1384. ISBN 978-0-9964527-6-2

Abstract

Location-based applications attract more and more attention in recent years. Examples of such applications include commercial advertisements, social networking software and patient monitoring. The received signal strength (RSS) based location fingerprinting is one of the most popular solutions for indoor localization. However, there is a big challenge in collecting and maintaining a relatively large RSS fingerprint database. In this work, we propose and compare two algorithms namely, the Gaussian process (GP) and Gaussian process with variogram, to estimate and construct the RSS fingerprints with incomplete data. The fingerprint of unknown reference points is estimated based on measurements at a limited number of surrounding locations. To validate the effectiveness of both algorithms, experiments using Bluetooth-low-energy (BLE) infrastructure have been conducted. The constructed RSS fingerprints are compared to the true measurements, and the result is analyzed. Finally, using the constructed fingerprints, the localization performance of a probabilistic fingerprinting method is evaluated.

Metadata

Authors/Creators:

Zhao, Y.
Liu, C.
Mihaylova, L.S.
Gunnarsson, F.

© 2018 ISIF. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy.

Keywords:

Indoor localization; received signal strength; Gaussian process; variogram; location fingerprinting

Dates:

Accepted: 1 May 2018
Published (online): 6 September 2018
Published: 6 September 2018

Institution:

The University of Sheffield

Academic Units:

The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield)

Funding Information:

Funder	Grant number
EUROPEAN COMMISSION - FP6/FP7	TRAX - 607400

Depositing User:

Symplectic Sheffield

Date Deposited:

11 Jun 2018 08:31

Last Modified:

19 Dec 2022 13:49

Published Version:

https://doi.org/10.23919/ICIF.2018.8455842

Status:

Published

Publisher:

IEEE

Refereed:

Yes

Identification Number:

https://doi.org/10.23919/ICIF.2018.8455842

CORE (COnnecting REpositories)

Gaussian processes for RSS fingerprints construction in indoor localization

Abstract

Metadata

Download

Accepted Version

Export

Statistics