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

A. Hakkarainen (Corresponding author), J. Werner, N. Gulati, D. Patron, D. Pfeil, Henna Paaso, Aarne Mämmelä, K. Dandekar, M. Valkama

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    6 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 languageEnglish
    Title of host publicationProceedings
    Subtitle of host publication9th International Conference on Cognitive Radio Oriented Wireless Networks, CROWNCOM 2014
    PublisherIEEE Institute of Electrical and Electronic Engineers
    Pages454-459
    ISBN (Print)978-1-63190-003-7
    DOIs
    Publication statusPublished - 2014
    MoE publication typeA4 Article in a conference publication
    Event9th International Conference on Cognitive Radio Oriented Wireless Networks, CROWNCOM 2014 - Oulu, Finland
    Duration: 2 Jun 20144 Jun 2014
    Conference number: 9

    Conference

    Conference9th International Conference on Cognitive Radio Oriented Wireless Networks, CROWNCOM 2014
    Abbreviated titleCROWNCOM 2014
    CountryFinland
    CityOulu
    Period2/06/144/06/14

    Fingerprint

    Cognitive radio
    Antennas
    Direction of arrival
    Spatial distribution
    Fusion reactions
    Sensors

    Keywords

    • cognitive radio
    • stansfield algorithm
    • direction of arrival estimation
    • leaky-wave antennas
    • reconfigurable antennas
    • localization
    • low complexity

    Cite this

    Hakkarainen, A., Werner, J., Gulati, N., Patron, D., Pfeil, D., Paaso, H., ... Valkama, M. (2014). Reconfigurable antenna based doa estimation and localization in cognitive radios: Low complexity algorithms and practical measurements. In Proceedings: 9th International Conference on Cognitive Radio Oriented Wireless Networks, CROWNCOM 2014 (pp. 454-459). IEEE Institute of Electrical and Electronic Engineers . https://doi.org/10.4108/icst.crowncom.2014.255730
    Hakkarainen, A. ; Werner, J. ; Gulati, N. ; Patron, D. ; Pfeil, D. ; Paaso, Henna ; Mämmelä, Aarne ; Dandekar, K. ; Valkama, M. / Reconfigurable antenna based doa estimation and localization in cognitive radios: Low complexity algorithms and practical measurements. Proceedings: 9th International Conference on Cognitive Radio Oriented Wireless Networks, CROWNCOM 2014. 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 = "A. Hakkarainen and J. Werner and N. Gulati and D. Patron and D. Pfeil and Henna Paaso and Aarne M{\"a}mmel{\"a} and K. Dandekar and M. Valkama",
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    language = "English",
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    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 Proceedings: 9th International Conference on Cognitive Radio Oriented Wireless Networks, CROWNCOM 2014. 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, A. (Corresponding author); Werner, J.; Gulati, N.; Patron, D.; Pfeil, D.; Paaso, Henna; Mämmelä, Aarne; Dandekar, K.; Valkama, M.

    Proceedings: 9th International Conference on Cognitive Radio Oriented Wireless Networks, CROWNCOM 2014. IEEE Institute of Electrical and Electronic Engineers , 2014. p. 454-459.

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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

    AU - Hakkarainen, A.

    AU - Werner, J.

    AU - Gulati, N.

    AU - Patron, D.

    AU - Pfeil, D.

    AU - Paaso, Henna

    AU - Mämmelä, Aarne

    AU - Dandekar, K.

    AU - Valkama, M.

    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 - Proceedings

    PB - IEEE Institute of Electrical and Electronic Engineers

    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 Proceedings: 9th International Conference on Cognitive Radio Oriented Wireless Networks, CROWNCOM 2014. IEEE Institute of Electrical and Electronic Engineers . 2014. p. 454-459 https://doi.org/10.4108/icst.crowncom.2014.255730