Mobile Positioning in MIMO System Using Particle Filtering
Author
Summary, in English
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.
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.
Publishing year
2007
Language
English
Pages
792-798
Publication/Series
2007 IEEE 66th Vehicular Technology Conference, vols 1-5
Full text
Document type
Conference paper
Publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
Topic
- Electrical Engineering, Electronic Engineering, Information Engineering
Conference name
IEEE Vehicular Technology Conference, VTC 2007-Fall
Conference date
2007-09-30 - 2007-10-03
Conference place
Baltimore, MD, United States
Status
Published
Research group
- Radio Systems
ISBN/ISSN/Other
- ISSN: 1090-3038
- ISBN: 978-1-4244-0263-2