We propose a blind adaptive reduced-rank widely linear beamforming algorithm using the generalized sidelobe canceller structure for interference suppression. A structured Krylov-subspace-based approach is devised to construct the dimensionality reducing transformation matrix, and a recursive least-squares algorithm is developed according to the widely linear constrained constant modulus criterion to update the reduced-rank filter. We analyze the convergence and complexity of the proposed algorithm and validate its performance gains through simulations.


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    Titel :

    Adaptive Widely Linear Constrained Constant Modulus Reduced-Rank Beamforming


    Beteiligte:
    Xiaomin Wu (Autor:in) / Yunlong Cai (Autor:in) / Minjian Zhao (Autor:in) / de Lamare, Rodrigo C. (Autor:in) / Champagne, Benoit (Autor:in)


    Erscheinungsdatum :

    01.02.2017


    Format / Umfang :

    1148244 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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