Mobile Positioning in MIMO System Using Particle Filtering
Bizjajeva, Svetlana LU ; Rydén, Tobias LU and Edfors, Ove LU
(2007)
IEEE Vehicular Technology Conference, VTC 2007-Fall
p.792-798
- Abstract
- Abstract—This paper represents the results of a
simulation study on positioning of a mobile unit in
MIMO settings. We used two different approaches
for modeling the mobile movement, combined with
a simple geometrical model for the MIMO channel.
Three different particle filters were implemented for
the position estimation. The results show that all three
filters are able to achieve estimation accuracy required
by Federal Communication Commission. The dimensionality
of the particle filter state space is independent
of the number of antenna elements, and it is possible to
increase the number of antennas and use more sophisticated
... (More) - Abstract—This paper represents the results of a
simulation study on positioning of a mobile unit in
MIMO settings. We used two different approaches
for modeling the mobile movement, combined with
a simple geometrical model for the MIMO channel.
Three different particle filters were implemented for
the position estimation. The results show that all three
filters are able to achieve estimation accuracy required
by Federal Communication Commission. The dimensionality
of the particle filter state space is independent
of the number of antenna elements, and it is possible to
increase the number of antennas and use more sophisticated
channel models without changing the filtering
algorithms. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1036059
- author
- Bizjajeva, Svetlana
LU
; Rydén, Tobias
LU
and Edfors, Ove
LU
- organization
- publishing date
- 2007
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- 2007 IEEE 66th Vehicular Technology Conference, vols 1-5
- pages
- 7 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- IEEE Vehicular Technology Conference, VTC 2007-Fall
- conference location
- Baltimore, MD, United States
- conference dates
- 2007-09-30 - 2007-10-03
- external identifiers
-
- wos:000257697000159
- scopus:47649118244
- ISSN
- 1090-3038
- ISBN
- 978-1-4244-0263-2
- DOI
- 10.1109/VETECF.2007.175
- language
- English
- LU publication?
- yes
- id
- 3bd9a17b-2707-43d6-95df-1424cd58f270 (old id 1036059)
- date added to LUP
- 2016-04-01 15:41:42
- date last changed
- 2024-01-10 18:33:12
@inproceedings{3bd9a17b-2707-43d6-95df-1424cd58f270,
abstract = {{Abstract—This paper represents the results of a<br/><br>
simulation study on positioning of a mobile unit in<br/><br>
MIMO settings. We used two different approaches<br/><br>
for modeling the mobile movement, combined with<br/><br>
a simple geometrical model for the MIMO channel.<br/><br>
Three different particle filters were implemented for<br/><br>
the position estimation. The results show that all three<br/><br>
filters are able to achieve estimation accuracy required<br/><br>
by Federal Communication Commission. The dimensionality<br/><br>
of the particle filter state space is independent<br/><br>
of the number of antenna elements, and it is possible to<br/><br>
increase the number of antennas and use more sophisticated<br/><br>
channel models without changing the filtering<br/><br>
algorithms.}},
author = {{Bizjajeva, Svetlana and Rydén, Tobias and Edfors, Ove}},
booktitle = {{2007 IEEE 66th Vehicular Technology Conference, vols 1-5}},
isbn = {{978-1-4244-0263-2}},
issn = {{1090-3038}},
language = {{eng}},
pages = {{792--798}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
title = {{Mobile Positioning in MIMO System Using Particle Filtering}},
url = {{https://lup.lub.lu.se/search/files/4450904/5385545.pdf}},
doi = {{10.1109/VETECF.2007.175}},
year = {{2007}},
}