Radio and IMU based indoor positioning and tracking
Mannesson, Anders LU ; Yaqoob, Muhammad Atif LU ; Bernhardsson, Bo LU
and Tufvesson, Fredrik
LU
(2012)
2012 19th International Conference on Systems, Signals and Image Processing (IWSSIP)
p.32-35
- Abstract
- Navigation using inertial measurement units (IMUs) is an interesting area of research. Due to the low cost hardware and simple implementation, the approach looks very attractive. But the performance of the IMUs to provide sub-meter accuracy over a longer period of time is still not sufficient, so different approaches have been adopted to increase the performance at the cost of extra hardware and/or infrastructure. Our solution is based on the use of already existing radio infrastructure, where amplitude and phase variations in a received
radio signal at the user terminal is used together with the IMU to do a tightly coupled estimation of navigation and radio signalmultipath components. The results show that the approach has the... (More) - Navigation using inertial measurement units (IMUs) is an interesting area of research. Due to the low cost hardware and simple implementation, the approach looks very attractive. But the performance of the IMUs to provide sub-meter accuracy over a longer period of time is still not sufficient, so different approaches have been adopted to increase the performance at the cost of extra hardware and/or infrastructure. Our solution is based on the use of already existing radio infrastructure, where amplitude and phase variations in a received
radio signal at the user terminal is used together with the IMU to do a tightly coupled estimation of navigation and radio signalmultipath components. The results show that the approach has the potential to enhance the performance of IMU based navigation significantly. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/2430328
- author
- Mannesson, Anders
LU
; Yaqoob, Muhammad Atif
LU
; Bernhardsson, Bo
LU
and Tufvesson, Fredrik
LU
- organization
- publishing date
- 2012
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- IMU, Sensor Fusion, Particle Filter, Positioning, Angle-of-Arrival, Channel Estimation
- host publication
- 2012 19th International Conference on Systems, Signals and Image Processing (IWSSIP)
- pages
- 32 - 35
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 2012 19th International Conference on Systems, Signals and Image Processing (IWSSIP)
- conference location
- Vienna, Austria
- conference dates
- 2012-04-11
- external identifiers
-
- scopus:84863896274
- ISBN
- 978-1-4577-2191-5
- project
- Joint Positioning and Radio Channel Estimation
- language
- English
- LU publication?
- yes
- additional info
- project=ELIIT
- id
- 625879ca-6752-4855-accc-3e68a97bf645 (old id 2430328)
- date added to LUP
- 2016-04-04 12:14:56
- date last changed
- 2024-04-18 02:58:05
@inproceedings{625879ca-6752-4855-accc-3e68a97bf645,
abstract = {{Navigation using inertial measurement units (IMUs) is an interesting area of research. Due to the low cost hardware and simple implementation, the approach looks very attractive. But the performance of the IMUs to provide sub-meter accuracy over a longer period of time is still not sufficient, so different approaches have been adopted to increase the performance at the cost of extra hardware and/or infrastructure. Our solution is based on the use of already existing radio infrastructure, where amplitude and phase variations in a received<br/><br>
radio signal at the user terminal is used together with the IMU to do a tightly coupled estimation of navigation and radio signalmultipath components. The results show that the approach has the potential to enhance the performance of IMU based navigation significantly.}},
author = {{Mannesson, Anders and Yaqoob, Muhammad Atif and Bernhardsson, Bo and Tufvesson, Fredrik}},
booktitle = {{2012 19th International Conference on Systems, Signals and Image Processing (IWSSIP)}},
isbn = {{978-1-4577-2191-5}},
keywords = {{IMU; Sensor Fusion; Particle Filter; Positioning; Angle-of-Arrival; Channel Estimation}},
language = {{eng}},
pages = {{32--35}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
title = {{Radio and IMU based indoor positioning and tracking}},
url = {{https://lup.lub.lu.se/search/files/5962152/2430334.pdf}},
year = {{2012}},
}