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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 In 2007 IEEE 66th Vehicular Technology Conference, vols 1-5 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:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
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
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
2008-02-27 11:17:22
date last changed
2017-04-16 04:06:06
@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          = {http://dx.doi.org/10.1109/VETECF.2007.175},
  year         = {2007},
}