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Sensor Fused Indoor Positioning Using Dual Band WiFi Signal Measurements

Karlsson, Fredrik ; Karlsson, Martin LU ; Bernhardsson, Bo LU orcid ; Tufvesson, Fredrik LU orcid and Persson, Magnus (2015) European Control Conference, 2015 p.1669-1672
Abstract
In this paper, signal strengths from known WiFi access points are used together with a particle filter to perform indoor navigation. It is shown that more information is obtained by using signals of both 2.4 and 5.0 GHz, compared to using only one frequency. Thus, using both frequencies provides a more accurate positioning. The second contribution is an algorithm where WiFi measurements are combined with pedestrian dead reckoning (PDR), which is based on step counting using an accelerometer and hypotheses of the heading using a gyroscope. This was found to provide further accuracy compared to more conventional methods.
Please use this url to cite or link to this publication:
author
; ; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
2015 European Control Conference (ECC)
pages
1669 - 1672
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
European Control Conference, 2015
conference location
Linz, Austria
conference dates
2015-07-15 - 2015-07-17
external identifiers
  • scopus:84963800358
ISBN
978-3-9524-2693-7
DOI
10.1109/ECC.2015.7330777
language
English
LU publication?
yes
id
4e91110e-c62e-4bf0-b6dd-d04134e931e5 (old id 8057525)
date added to LUP
2016-04-04 12:58:53
date last changed
2024-06-04 15:07:18
@inproceedings{4e91110e-c62e-4bf0-b6dd-d04134e931e5,
  abstract     = {{In this paper, signal strengths from known WiFi access points are used together with a particle filter to perform indoor navigation. It is shown that more information is obtained by using signals of both 2.4 and 5.0 GHz, compared to using only one frequency. Thus, using both frequencies provides a more accurate positioning. The second contribution is an algorithm where WiFi measurements are combined with pedestrian dead reckoning (PDR), which is based on step counting using an accelerometer and hypotheses of the heading using a gyroscope. This was found to provide further accuracy compared to more conventional methods.}},
  author       = {{Karlsson, Fredrik and Karlsson, Martin and Bernhardsson, Bo and Tufvesson, Fredrik and Persson, Magnus}},
  booktitle    = {{2015 European Control Conference (ECC)}},
  isbn         = {{978-3-9524-2693-7}},
  language     = {{eng}},
  pages        = {{1669--1672}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  title        = {{Sensor Fused Indoor Positioning Using Dual Band WiFi Signal Measurements}},
  url          = {{https://lup.lub.lu.se/search/files/10948446/8057540.pdf}},
  doi          = {{10.1109/ECC.2015.7330777}},
  year         = {{2015}},
}