Abstract
This paper addresses low-complexity algorithms and
evaluates the practical performance of low-complexity
primary user (PU) direction of arrival (DoA) estimation
and PU localization with real world indoor measurement
data. More specifically, we use a type of reconfigurable
antenna known as leaky-wave antennas to sense the spatial
distribution of the PU signal power. By deploying a very
low-complexity algorithm, called MaxE, the secondary user
(SU) sensors are then able to estimate their respective
PU DoAs. Finally, a central fusion center combines the
DoAs into a PU location estimate. The results of the
practical measurements reveal that it is possible to
implement a localization system with very low complexity
and fairly good PU location capabilities in a cognitive
radio network. Such PU localization capabilities can then
be used, e.g. for enhanced PU interference management.
Original language | English |
---|---|
Title of host publication | 9th International Conference on Cognitive Radio Oriented Wireless Networks |
Editors | Matti Latva-aho, Savo Glisic, Allen MacKenzie, Alhussein Abouzeid, Olav Tirkkonen, Markku Juntti, Juha Röning, Hiroshi Harada |
Publisher | IEEE Institute of Electrical and Electronic Engineers |
Pages | 454-459 |
ISBN (Print) | 978-1-63190-003-7 |
DOIs | |
Publication status | Published - 2014 |
MoE publication type | A4 Article in a conference publication |
Event | 9th International Conference on Cognitive Radio Oriented Wireless Networks, CROWNCOM 2014 - Oulu, Finland Duration: 2 Jun 2014 → 4 Jun 2014 Conference number: 9 |
Conference
Conference | 9th International Conference on Cognitive Radio Oriented Wireless Networks, CROWNCOM 2014 |
---|---|
Abbreviated title | CROWNCOM 2014 |
Country/Territory | Finland |
City | Oulu |
Period | 2/06/14 → 4/06/14 |
Keywords
- cognitive radio
- stansfield algorithm
- direction of arrival estimation
- leaky-wave antennas
- reconfigurable antennas
- localization
- low complexity