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Sectorized antenna-based DoA estimation and localization: Advanced algorithms and measurements

Tutkimustuotosvertaisarvioitu

Standard

Sectorized antenna-based DoA estimation and localization : Advanced algorithms and measurements. / Werner, Janis; Wang, Jun; Hakkarainen, Aki; Gulati, Nikhil; Patron, Damiano; Pfeil, Doug; Dandekar, Kapil; Cabric, Danijela; Valkama, Mikko.

julkaisussa: IEEE Journal on Selected Areas in Communications, Vuosikerta 33, Nro 11, 01.11.2015, s. 2272-2286.

Tutkimustuotosvertaisarvioitu

Harvard

Werner, J, Wang, J, Hakkarainen, A, Gulati, N, Patron, D, Pfeil, D, Dandekar, K, Cabric, D & Valkama, M 2015, 'Sectorized antenna-based DoA estimation and localization: Advanced algorithms and measurements', IEEE Journal on Selected Areas in Communications, Vuosikerta. 33, Nro 11, Sivut 2272-2286. https://doi.org/10.1109/JSAC.2015.2430292

APA

Werner, J., Wang, J., Hakkarainen, A., Gulati, N., Patron, D., Pfeil, D., ... Valkama, M. (2015). Sectorized antenna-based DoA estimation and localization: Advanced algorithms and measurements. IEEE Journal on Selected Areas in Communications, 33(11), 2272-2286. https://doi.org/10.1109/JSAC.2015.2430292

Vancouver

Werner J, Wang J, Hakkarainen A, Gulati N, Patron D, Pfeil D et al. Sectorized antenna-based DoA estimation and localization: Advanced algorithms and measurements. IEEE Journal on Selected Areas in Communications. 2015 marras 1;33(11):2272-2286. https://doi.org/10.1109/JSAC.2015.2430292

Author

Werner, Janis ; Wang, Jun ; Hakkarainen, Aki ; Gulati, Nikhil ; Patron, Damiano ; Pfeil, Doug ; Dandekar, Kapil ; Cabric, Danijela ; Valkama, Mikko. / Sectorized antenna-based DoA estimation and localization : Advanced algorithms and measurements. Julkaisussa: IEEE Journal on Selected Areas in Communications. 2015 ; Vuosikerta 33, Nro 11. Sivut 2272-2286.

Bibtex - Lataa

@article{304ad21d91d8450b80c042caff010e4a,
title = "Sectorized antenna-based DoA estimation and localization: Advanced algorithms and measurements",
abstract = "Sectorized antennas are a promising class of antennas for enabling direction-of-arrival (DoA) estimation and successive transmitter localization. In contrast to antenna arrays, sectorized antennas do not require multiple transceiver branches and can be implemented using a single RF front-end only, thus reducing the overall size and cost of the devices. However, for good localization performance the underlying DoA estimator is of uttermost importance. In this paper, we therefore propose a novel high performance DoA estimator for sectorized antennas that does not require cooperation between the transmitter and the localizing network. The proposed DoA estimator is broadly applicable with different sectorized antenna types and signal waveforms, and has low computational complexity. Using computer simulations, we show that our algorithm approaches the respective Cramer-Rao lower bound for DoA estimation variance if the signal-to-noise ratio (SNR) is moderate to large and also outperforms the existing estimators. Moreover, we also derive analytical error models for the underlying DoA estimation principle considering both free space as well as multipath propagation scenarios. Furthermore, we also address the fusion of the individual DoA estimates into a location estimate using the Stansfield algorithm and study the corresponding localization performance in detail. Finally, we show how to implement the localization in practical systems and demonstrate the achievable performance using indoor RF measurements obtained with practical sectorized antenna units.",
keywords = "Angle-of-arrival, cognitive radio, direction-of-arrival estimation, directional antennas, leaky-wave antennas, localization, location-awareness, measurements, reconfigurable antennas, sectorized antennas, Stansfield algorithm",
author = "Janis Werner and Jun Wang and Aki Hakkarainen and Nikhil Gulati and Damiano Patron and Doug Pfeil and Kapil Dandekar and Danijela Cabric and Mikko Valkama",
year = "2015",
month = "11",
day = "1",
doi = "10.1109/JSAC.2015.2430292",
language = "English",
volume = "33",
pages = "2272--2286",
journal = "IEEE Journal on Selected Areas in Communications",
issn = "0733-8716",
publisher = "Institute of Electrical and Electronics Engineers",
number = "11",

}

RIS (suitable for import to EndNote) - Lataa

TY - JOUR

T1 - Sectorized antenna-based DoA estimation and localization

T2 - Advanced algorithms and measurements

AU - Werner, Janis

AU - Wang, Jun

AU - Hakkarainen, Aki

AU - Gulati, Nikhil

AU - Patron, Damiano

AU - Pfeil, Doug

AU - Dandekar, Kapil

AU - Cabric, Danijela

AU - Valkama, Mikko

PY - 2015/11/1

Y1 - 2015/11/1

N2 - Sectorized antennas are a promising class of antennas for enabling direction-of-arrival (DoA) estimation and successive transmitter localization. In contrast to antenna arrays, sectorized antennas do not require multiple transceiver branches and can be implemented using a single RF front-end only, thus reducing the overall size and cost of the devices. However, for good localization performance the underlying DoA estimator is of uttermost importance. In this paper, we therefore propose a novel high performance DoA estimator for sectorized antennas that does not require cooperation between the transmitter and the localizing network. The proposed DoA estimator is broadly applicable with different sectorized antenna types and signal waveforms, and has low computational complexity. Using computer simulations, we show that our algorithm approaches the respective Cramer-Rao lower bound for DoA estimation variance if the signal-to-noise ratio (SNR) is moderate to large and also outperforms the existing estimators. Moreover, we also derive analytical error models for the underlying DoA estimation principle considering both free space as well as multipath propagation scenarios. Furthermore, we also address the fusion of the individual DoA estimates into a location estimate using the Stansfield algorithm and study the corresponding localization performance in detail. Finally, we show how to implement the localization in practical systems and demonstrate the achievable performance using indoor RF measurements obtained with practical sectorized antenna units.

AB - Sectorized antennas are a promising class of antennas for enabling direction-of-arrival (DoA) estimation and successive transmitter localization. In contrast to antenna arrays, sectorized antennas do not require multiple transceiver branches and can be implemented using a single RF front-end only, thus reducing the overall size and cost of the devices. However, for good localization performance the underlying DoA estimator is of uttermost importance. In this paper, we therefore propose a novel high performance DoA estimator for sectorized antennas that does not require cooperation between the transmitter and the localizing network. The proposed DoA estimator is broadly applicable with different sectorized antenna types and signal waveforms, and has low computational complexity. Using computer simulations, we show that our algorithm approaches the respective Cramer-Rao lower bound for DoA estimation variance if the signal-to-noise ratio (SNR) is moderate to large and also outperforms the existing estimators. Moreover, we also derive analytical error models for the underlying DoA estimation principle considering both free space as well as multipath propagation scenarios. Furthermore, we also address the fusion of the individual DoA estimates into a location estimate using the Stansfield algorithm and study the corresponding localization performance in detail. Finally, we show how to implement the localization in practical systems and demonstrate the achievable performance using indoor RF measurements obtained with practical sectorized antenna units.

KW - Angle-of-arrival

KW - cognitive radio

KW - direction-of-arrival estimation

KW - directional antennas

KW - leaky-wave antennas

KW - localization

KW - location-awareness

KW - measurements

KW - reconfigurable antennas

KW - sectorized antennas

KW - Stansfield algorithm

U2 - 10.1109/JSAC.2015.2430292

DO - 10.1109/JSAC.2015.2430292

M3 - Article

VL - 33

SP - 2272

EP - 2286

JO - IEEE Journal on Selected Areas in Communications

JF - IEEE Journal on Selected Areas in Communications

SN - 0733-8716

IS - 11

ER -