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Cooperative Indoor Positioning by Exchange of Bluetooth Signals and State Estimates Between Users

Karlsson, Martin LU and Karlsson, Fredrik (2017) European Control Conference, 2016 p.1440-1444
Abstract
This paper presents a Bayesian indoor positioning
system for smartphones based on the strengths of WiFi and
Bluetooth signals. A framework for improving the performance
of existing positioning methods with the help information
sharing between users is proposed and evaluated. Bluetooth
signals are sent between users, and the signal strengths contain
information about their relative distances, which is used to
evaluate the probability distribution functions of their states.
A particle filter is used for the state estimation, together with
an unscented transform to propagate probability distributions
through nonlinearities.
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
2016 European Control conference
pages
5 pages
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
European Control Conference, 2016
conference location
Aalborg, Denmark
conference dates
2016-06-29 - 2016-07-01
external identifiers
  • scopus:85015105278
ISBN
978-150902591-6
DOI
10.1109/ECC.2016.7810492
language
English
LU publication?
yes
id
fb00346c-ec74-4a12-8ccb-f9b2a10f38d4
date added to LUP
2016-07-05 08:11:36
date last changed
2022-05-02 04:21:01
@inproceedings{fb00346c-ec74-4a12-8ccb-f9b2a10f38d4,
  abstract     = {{This paper presents a Bayesian indoor positioning<br/>system for smartphones based on the strengths of WiFi and<br/>Bluetooth signals. A framework for improving the performance<br/>of existing positioning methods with the help information<br/>sharing between users is proposed and evaluated. Bluetooth<br/>signals are sent between users, and the signal strengths contain<br/>information about their relative distances, which is used to<br/>evaluate the probability distribution functions of their states.<br/>A particle filter is used for the state estimation, together with<br/>an unscented transform to propagate probability distributions<br/>through nonlinearities.}},
  author       = {{Karlsson, Martin and Karlsson, Fredrik}},
  booktitle    = {{2016 European Control conference}},
  isbn         = {{978-150902591-6}},
  language     = {{eng}},
  pages        = {{1440--1444}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  title        = {{Cooperative Indoor Positioning by Exchange of Bluetooth Signals and State Estimates Between Users}},
  url          = {{https://lup.lub.lu.se/search/files/9352769/0228.pdf}},
  doi          = {{10.1109/ECC.2016.7810492}},
  year         = {{2017}},
}