This paper proposes a self-calibration algorithm for a hybrid millimeter-wave (mmWave) multiple-input-multiple-output (MIMO) channel estimation in the presence of array manifold errors composed of mutual coupling, antenna gain/phase errors, and antenna spacing errors due to hardware impairments. The proposed algorithm can jointly estimate angles of arrivals (AoAs), angles of departures (AoDs), path gains, and array manifold errors. The initial coarse estimates for AoAs, AoDs, and path gains are derived by a compressed sensing (CS) algorithm without prior knowledge of array manifold errors. Subsequently, AoAs, AoDs, path gains, and array manifold errors are updated based on corresponding maximum likelihood (ML) criteria. Numerical results demonstrate that the proposed algorithm has superior performance with low pilot overhead compared to conventional methods.


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    Titel :

    Self-Calibration for Channel Estimation in Hybrid Millimeter-Wave MIMO Systems


    Beteiligte:
    Arai, Kabuto (Autor:in) / Ishibashi, Koji (Autor:in)


    Erscheinungsdatum :

    10.10.2023


    Format / Umfang :

    1734854 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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