DoA estimation through modified unitary MUSIC algorithm for CRLH leaky-wave antennas

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

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

    8 Citations (Scopus)

    Abstract

    In this paper, we propose a modified unitary multiple signal classification (MUSIC) algorithm for a two-port composite right/left handed (CRLH) leaky-wave antenna (LWA). The algorithm requires only real-valued operations to estimate direction of arrival (DoA) of the received signals, which will simplify future hardware implementation. 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 unitary MUSIC algorithm uses both antennas' input ports to estimate the DoA. Existing MUSIC implementations requires eigenvalue decomposition in the complex-valued signal subspace, which results in highly complex hardware implementation. The computational complexity can be reduced using our proposed modified unitary MUSIC algorithm since it transforms the complex-valued covariance matrix of the received signals to a real-valued matrix using unitary transformations. The performance of the algorithm is experimentally demonstrated by using a CRLH LWA within an anechoic chamber facility and the estimated DoA results are in good agreement with the predicted angles.
    Original languageEnglish
    Title of host publication2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)
    PublisherIEEE Institute of Electrical and Electronic Engineers
    Pages311-315
    Number of pages5
    ISBN (Electronic)978-1-4673-6235-1
    DOIs
    Publication statusPublished - 11 Dec 2013
    MoE publication typeA4 Article in a conference publication
    Event24th IEEE Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC 2013 - London, United Kingdom
    Duration: 8 Sep 201311 Sep 2013
    Conference number: 24

    Conference

    Conference24th IEEE Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC 2013
    Abbreviated titlePIMRC'13
    CountryUnited Kingdom
    CityLondon
    Period8/09/1311/09/13

    Keywords

    • matrix decomposition
    • correlation
    • antenna arrays
    • multiple signal classification
    • direction-of-arrival estimation
    • estimation

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