Modified MUSIC algorithm for DoA estimation using CRLH leaky-wave antennas

Henna Paaso, Aarne Mämmelä, Damiano Patron, Kapil R. Dandekar

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

    12 Citations (Scopus)

    Abstract

    In this paper, we formulate and experimentally demonstrate direction of arrival (DoA) estimation with a two-port composite right/left handed (CRLH) leaky-wave antenna (LWA) using the multiple signal classification (MUSIC) algorithm. The CRLH LWA consists of a cascade of metamaterial unit cells, periodically modulated using varactor diodes. By changing the voltages across series and shunt varactors, the antenna is able to uniformly steer its radiation pattern. The proposed modified MUSIC algorithm, uses both antenna's input ports to estimate the DoA. Conventionally, the MUSIC algorithm needs to calculate the correlation matrix from the output vector of an array of antenna elements. In this work, we show in detail how the correlation matrix can be computed when using leaky-wave antennas. The algorithm is demonstrated using LWA in an anechoic chamber and the estimated DoA results are in good agreement with the predicted angles
    Original languageEnglish
    Title of host publication8th International Conference on Cognitive Radio Oriented Wireless Networks and Communications, CROWNCOM 2013, Washington, DC; United States; 8 July - 10 July 2013
    PublisherIEEE Institute of Electrical and Electronic Engineers
    Pages166-171
    ISBN (Print)978-1-4799-2120-1
    DOIs
    Publication statusPublished - 2013
    MoE publication typeA4 Article in a conference publication
    Event8th International Conference on Cognitive Radio Oriented Wireless Networks and Communications, CROWNCOM 2013 - Washington, United States
    Duration: 8 Jul 201310 Jul 2013
    Conference number: 8

    Conference

    Conference8th International Conference on Cognitive Radio Oriented Wireless Networks and Communications, CROWNCOM 2013
    Abbreviated titleCROWNCOM 2013
    CountryUnited States
    CityWashington
    Period8/07/1310/07/13

    Fingerprint

    Direction of arrival
    Antennas
    Composite materials
    Varactors
    Anechoic chambers
    Metamaterials
    Directional patterns (antenna)
    Diodes
    Electric potential

    Cite this

    Paaso, H., Mämmelä, A., Patron, D., & Dandekar, K. R. (2013). Modified MUSIC algorithm for DoA estimation using CRLH leaky-wave antennas. In 8th International Conference on Cognitive Radio Oriented Wireless Networks and Communications, CROWNCOM 2013, Washington, DC; United States; 8 July - 10 July 2013 (pp. 166-171). IEEE Institute of Electrical and Electronic Engineers . https://doi.org/10.1109/CROWNCom.2013.6636812
    Paaso, Henna ; Mämmelä, Aarne ; Patron, Damiano ; Dandekar, Kapil R. / Modified MUSIC algorithm for DoA estimation using CRLH leaky-wave antennas. 8th International Conference on Cognitive Radio Oriented Wireless Networks and Communications, CROWNCOM 2013, Washington, DC; United States; 8 July - 10 July 2013. IEEE Institute of Electrical and Electronic Engineers , 2013. pp. 166-171
    @inproceedings{6d958f07815f47fb9d386770ff5c9992,
    title = "Modified MUSIC algorithm for DoA estimation using CRLH leaky-wave antennas",
    abstract = "In this paper, we formulate and experimentally demonstrate direction of arrival (DoA) estimation with a two-port composite right/left handed (CRLH) leaky-wave antenna (LWA) using the multiple signal classification (MUSIC) algorithm. The CRLH LWA consists of a cascade of metamaterial unit cells, periodically modulated using varactor diodes. By changing the voltages across series and shunt varactors, the antenna is able to uniformly steer its radiation pattern. The proposed modified MUSIC algorithm, uses both antenna's input ports to estimate the DoA. Conventionally, the MUSIC algorithm needs to calculate the correlation matrix from the output vector of an array of antenna elements. In this work, we show in detail how the correlation matrix can be computed when using leaky-wave antennas. The algorithm is demonstrated using LWA in an anechoic chamber and the estimated DoA results are in good agreement with the predicted angles",
    author = "Henna Paaso and Aarne M{\"a}mmel{\"a} and Damiano Patron and Dandekar, {Kapil R.}",
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    language = "English",
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    pages = "166--171",
    booktitle = "8th International Conference on Cognitive Radio Oriented Wireless Networks and Communications, CROWNCOM 2013, Washington, DC; United States; 8 July - 10 July 2013",
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    Paaso, H, Mämmelä, A, Patron, D & Dandekar, KR 2013, Modified MUSIC algorithm for DoA estimation using CRLH leaky-wave antennas. in 8th International Conference on Cognitive Radio Oriented Wireless Networks and Communications, CROWNCOM 2013, Washington, DC; United States; 8 July - 10 July 2013. IEEE Institute of Electrical and Electronic Engineers , pp. 166-171, 8th International Conference on Cognitive Radio Oriented Wireless Networks and Communications, CROWNCOM 2013, Washington, United States, 8/07/13. https://doi.org/10.1109/CROWNCom.2013.6636812

    Modified MUSIC algorithm for DoA estimation using CRLH leaky-wave antennas. / Paaso, Henna; Mämmelä, Aarne; Patron, Damiano; Dandekar, Kapil R.

    8th International Conference on Cognitive Radio Oriented Wireless Networks and Communications, CROWNCOM 2013, Washington, DC; United States; 8 July - 10 July 2013. IEEE Institute of Electrical and Electronic Engineers , 2013. p. 166-171.

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

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    AU - Paaso, Henna

    AU - Mämmelä, Aarne

    AU - Patron, Damiano

    AU - Dandekar, Kapil R.

    N1 - CA2: TK810 SDA: ICT

    PY - 2013

    Y1 - 2013

    N2 - In this paper, we formulate and experimentally demonstrate direction of arrival (DoA) estimation with a two-port composite right/left handed (CRLH) leaky-wave antenna (LWA) using the multiple signal classification (MUSIC) algorithm. The CRLH LWA consists of a cascade of metamaterial unit cells, periodically modulated using varactor diodes. By changing the voltages across series and shunt varactors, the antenna is able to uniformly steer its radiation pattern. The proposed modified MUSIC algorithm, uses both antenna's input ports to estimate the DoA. Conventionally, the MUSIC algorithm needs to calculate the correlation matrix from the output vector of an array of antenna elements. In this work, we show in detail how the correlation matrix can be computed when using leaky-wave antennas. The algorithm is demonstrated using LWA in an anechoic chamber and the estimated DoA results are in good agreement with the predicted angles

    AB - In this paper, we formulate and experimentally demonstrate direction of arrival (DoA) estimation with a two-port composite right/left handed (CRLH) leaky-wave antenna (LWA) using the multiple signal classification (MUSIC) algorithm. The CRLH LWA consists of a cascade of metamaterial unit cells, periodically modulated using varactor diodes. By changing the voltages across series and shunt varactors, the antenna is able to uniformly steer its radiation pattern. The proposed modified MUSIC algorithm, uses both antenna's input ports to estimate the DoA. Conventionally, the MUSIC algorithm needs to calculate the correlation matrix from the output vector of an array of antenna elements. In this work, we show in detail how the correlation matrix can be computed when using leaky-wave antennas. The algorithm is demonstrated using LWA in an anechoic chamber and the estimated DoA results are in good agreement with the predicted angles

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    BT - 8th International Conference on Cognitive Radio Oriented Wireless Networks and Communications, CROWNCOM 2013, Washington, DC; United States; 8 July - 10 July 2013

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    Paaso H, Mämmelä A, Patron D, Dandekar KR. Modified MUSIC algorithm for DoA estimation using CRLH leaky-wave antennas. In 8th International Conference on Cognitive Radio Oriented Wireless Networks and Communications, CROWNCOM 2013, Washington, DC; United States; 8 July - 10 July 2013. IEEE Institute of Electrical and Electronic Engineers . 2013. p. 166-171 https://doi.org/10.1109/CROWNCom.2013.6636812