Cooperative Indoor Positioning by Exchange of Bluetooth Signals and State Estimates Between Users
(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:
https://lup.lub.lu.se/record/fb00346c-ec74-4a12-8ccb-f9b2a10f38d4
- author
- Karlsson, Martin LU and Karlsson, Fredrik
- organization
- publishing date
- 2017
- 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}}, }