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    Covariance matrix based fast smoothed sparse DOA estimation with partly calibrated array

    Access Status
    Fulltext not available
    Authors
    Liu, J.
    Zhou, W.
    Huang, D.
    Juwono, Filbert Hilman
    Date
    2018
    Type
    Journal Article
    
    Metadata
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    Citation
    Liu, J. and Zhou, W. and Huang, D. and Juwono, F.H. 2018. Covariance matrix based fast smoothed sparse DOA estimation with partly calibrated array. AEU - International Journal of Electronics and Communications. 84: pp. 8-12.
    Source Title
    AEU - International Journal of Electronics and Communications
    DOI
    10.1016/j.aeue.2017.10.026
    ISSN
    1434-8411
    School
    Curtin Malaysia
    URI
    http://hdl.handle.net/20.500.11937/73506
    Collection
    • Curtin Research Publications
    Abstract

    © 2017 Elsevier GmbH To solve the problem of direction-of-arrival (DOA) estimation for partly calibrated array, a new gain-phase error matrix estimation scheme and a smoothed sparse signal reconstruction method tailored for the complex-valued covariance matrix are proposed. In the proposed method, DOA estimation is achieved by employing the structure of the covariance matrix for the error matrix estimation and the complex-valued gradient matrix based fast non-convexity data reconstruction. The proposed method has much faster computational speed than other sparse DOA estimation methods with partly calibrated array. In addition, simulation results show that it performs well and is independent of the errors.

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