Reconfigurable antenna based doa estimation and localization in cognitive radios: Low complexity algorithms and practical measurements

Aki Hakkarainen; Janis Werner; Nikhil Gulati; Damiano Patron; Doug Pfeil; Henna Paaso; Aarne Mämmelä; Kapil Dandekar; Mikko Valkama

doi:10.4108/icst.crowncom.2014.255730

Reconfigurable antenna based doa estimation and localization in cognitive radios: Low complexity algorithms and practical measurements

Aki Hakkarainen^*, Janis Werner, Nikhil Gulati, Damiano Patron, Doug Pfeil, Henna Paaso, Aarne Mämmelä, Kapil Dandekar, Mikko Valkama

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

12 Citations (Scopus)

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	https://doi.org/10.4108/icst.crowncom.2014.255730
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

Access to Document

10.4108/icst.crowncom.2014.255730

Cite this

Hakkarainen, A., Werner, J., Gulati, N., Patron, D., Pfeil, D., Paaso, H., Mämmelä, A., Dandekar, K., & Valkama, M. (2014). Reconfigurable antenna based doa estimation and localization in cognitive radios: Low complexity algorithms and practical measurements. In M. Latva-aho, S. Glisic, A. MacKenzie, A. Abouzeid, O. Tirkkonen, M. Juntti, J. Röning, & H. Harada (Eds.), 9th International Conference on Cognitive Radio Oriented Wireless Networks (pp. 454-459). IEEE Institute of Electrical and Electronic Engineers. https://doi.org/10.4108/icst.crowncom.2014.255730

Hakkarainen, Aki ; Werner, Janis ; Gulati, Nikhil et al. / Reconfigurable antenna based doa estimation and localization in cognitive radios: Low complexity algorithms and practical measurements. 9th International Conference on Cognitive Radio Oriented Wireless Networks. editor / Matti Latva-aho ; Savo Glisic ; Allen MacKenzie ; Alhussein Abouzeid ; Olav Tirkkonen ; Markku Juntti ; Juha Röning ; Hiroshi Harada. IEEE Institute of Electrical and Electronic Engineers, 2014. pp. 454-459

@inproceedings{00a08386358d4a6aa946528fbd534105,

title = "Reconfigurable antenna based doa estimation and localization in cognitive radios: Low complexity algorithms and practical measurements",

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.",

keywords = "cognitive radio, stansfield algorithm, direction of arrival estimation, leaky-wave antennas, reconfigurable antennas, localization, low complexity",

author = "Aki Hakkarainen and Janis Werner and Nikhil Gulati and Damiano Patron and Doug Pfeil and Henna Paaso and Aarne M{\"a}mmel{\"a} and Kapil Dandekar and Mikko Valkama",

year = "2014",

doi = "10.4108/icst.crowncom.2014.255730",

language = "English",

isbn = "978-1-63190-003-7",

pages = "454--459",

editor = "Matti Latva-aho and Savo Glisic and Allen MacKenzie and Alhussein Abouzeid and Olav Tirkkonen and Markku Juntti and Juha R{\"o}ning and Hiroshi Harada",

booktitle = "9th International Conference on Cognitive Radio Oriented Wireless Networks",

publisher = "IEEE Institute of Electrical and Electronic Engineers",

address = "United States",

note = "9th International Conference on Cognitive Radio Oriented Wireless Networks, CROWNCOM 2014, CROWNCOM 2014 ; Conference date: 02-06-2014 Through 04-06-2014",

}

Hakkarainen, A, Werner, J, Gulati, N, Patron, D, Pfeil, D, Paaso, H, Mämmelä, A, Dandekar, K & Valkama, M 2014, Reconfigurable antenna based doa estimation and localization in cognitive radios: Low complexity algorithms and practical measurements. in M Latva-aho, S Glisic, A MacKenzie, A Abouzeid, O Tirkkonen, M Juntti, J Röning & H Harada (eds), 9th International Conference on Cognitive Radio Oriented Wireless Networks. IEEE Institute of Electrical and Electronic Engineers, pp. 454-459, 9th International Conference on Cognitive Radio Oriented Wireless Networks, CROWNCOM 2014, Oulu, Finland, 2/06/14. https://doi.org/10.4108/icst.crowncom.2014.255730

Reconfigurable antenna based doa estimation and localization in cognitive radios: Low complexity algorithms and practical measurements. / Hakkarainen, Aki; Werner, Janis; Gulati, Nikhil et al.
9th International Conference on Cognitive Radio Oriented Wireless Networks. ed. / Matti Latva-aho; Savo Glisic; Allen MacKenzie; Alhussein Abouzeid; Olav Tirkkonen; Markku Juntti; Juha Röning; Hiroshi Harada. IEEE Institute of Electrical and Electronic Engineers, 2014. p. 454-459.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Reconfigurable antenna based doa estimation and localization in cognitive radios: Low complexity algorithms and practical measurements

AU - Hakkarainen, Aki

AU - Werner, Janis

AU - Gulati, Nikhil

AU - Patron, Damiano

AU - Pfeil, Doug

AU - Paaso, Henna

AU - Mämmelä, Aarne

AU - Dandekar, Kapil

AU - Valkama, Mikko

N1 - Conference code: 9

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

KW - cognitive radio

KW - stansfield algorithm

KW - direction of arrival estimation

KW - leaky-wave antennas

KW - reconfigurable antennas

KW - localization

KW - low complexity

U2 - 10.4108/icst.crowncom.2014.255730

DO - 10.4108/icst.crowncom.2014.255730

M3 - Conference article in proceedings

SN - 978-1-63190-003-7

SP - 454

EP - 459

BT - 9th International Conference on Cognitive Radio Oriented Wireless Networks

A2 - Latva-aho, Matti

A2 - Glisic, Savo

A2 - MacKenzie, Allen

A2 - Abouzeid, Alhussein

A2 - Tirkkonen, Olav

A2 - Juntti, Markku

A2 - Röning, Juha

A2 - Harada, Hiroshi

PB - IEEE Institute of Electrical and Electronic Engineers

T2 - 9th International Conference on Cognitive Radio Oriented Wireless Networks, CROWNCOM 2014

Y2 - 2 June 2014 through 4 June 2014

ER -

Hakkarainen A, Werner J, Gulati N, Patron D, Pfeil D, Paaso H et al. Reconfigurable antenna based doa estimation and localization in cognitive radios: Low complexity algorithms and practical measurements. In Latva-aho M, Glisic S, MacKenzie A, Abouzeid A, Tirkkonen O, Juntti M, Röning J, Harada H, editors, 9th International Conference on Cognitive Radio Oriented Wireless Networks. IEEE Institute of Electrical and Electronic Engineers. 2014. p. 454-459 doi: 10.4108/icst.crowncom.2014.255730

Reconfigurable antenna based doa estimation and localization in cognitive radios: Low complexity algorithms and practical measurements

Abstract

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Keywords

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