University of Oulu

L. Terças, C. M. De Lima, J. Saloranta and M. Latva-Aho, "Hierarchical Bayesian-based Indoor Positioning Using Distributed Antenna Systems," 2021 17th International Symposium on Wireless Communication Systems (ISWCS), 2021, pp. 1-6, doi: 10.1109/ISWCS49558.2021.9562201

Hierarchical Bayesian-based indoor positioning using distributed antenna systems

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Author: Terças, Leonardo1; de Lima, Carlos Morais1; Saloranta, Jani1;
Organizations: 1Centre for Wireless Communications (CWC), University of Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.4 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2021120959948
Language: English
Published: Institute of Electrical and Electronics Engineers, 2021
Publish Date: 2021-12-09
Description:

Abstract

This work proposes and evaluates hierarchical Bayesian-based localization methods to estimate the position of a target node in indoor deployment scenarios. The measurements are acquired through a distributed antenna system which is connected to a common master anchor node. Each antenna head is affected by different channels parameters, what makes the estimation more difficult. The proposed method combines received signal strength and time of flight measurements to estimate the target location. In our investigations, we also consider a one-level hierarchical Bayesian network model, which introduces conditional interdependencies to the model parameters, resulting in less susceptibility to local variations. The Markov Chain Monte Carlo sampling method is used to approximate the posterior distribution of the two-dimensional target’s location coordinates. The root mean square error is used to evaluate the performance of the proposed solution in indoor scenarios. Our results show that by combining hybrid measurements or increasing conditions between the parameters by a hierarchical approach, the proposed mechanisms outperform the classic Bayesian model when estimating the target node using even fewer measurements.

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Series: International Symposium on Wireless Communication Systems
ISSN: 2154-0217
ISSN-E: 2154-0225
ISSN-L: 2154-0217
ISBN: 978-1-7281-7433-4
ISBN Print: 978-1-7281-7432-7
Pages: 1 - 6
DOI: 10.1109/ISWCS49558.2021.9562201
OADOI: https://oadoi.org/10.1109/ISWCS49558.2021.9562201
Host publication: Proceedings of the 17th International Symposium on Wireless Communication Systems (ISWCS), 6-9 September 2021
Conference: International Symposium on Wireless Communication Systems (ISWCS)
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Subjects:
DAG
Funding: Academy of Finland through the grants No. 318927 (project 6Genesis Flagship) and No. 24303208.
Academy of Finland Grant Number: 318927
Detailed Information: 318927 (Academy of Finland Funding decision)
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