We study the question of phase retrieval aided Millimeter wave (mmWave) channel estimation and propose a sparse phase retrieval-aided mmWave channel estimation technique which can estimate the sparse mmWave channel parameters from quadratic measurements. The proposed scheme has low-cost hardware implementation compared with traditional compressed sensing-based methods and robust to carrier frequency offset caused by high-frequency hardware imperfections. Based on the proposed sparse phase retrieval-aided model, we introduce a two-stage algorithm to estimate the mmWave channel parameters (up to a global phase) and then compute the exact solution via the anchor measurements. Simulation results are provided to illustrate the effectiveness of the proposed method.


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    Titel :

    Structured Phase Retrieval-aided Channel Estimation for Millimeter-Wave/Sub-Terahertz MIMO Systems


    Beteiligte:
    Liu, Kai-Hui (Autor:in) / Li, Xiangning (Autor:in) / Zhao, Haiyang (Autor:in) / Fan, Guoping (Autor:in)


    Erscheinungsdatum :

    01.09.2022


    Format / Umfang :

    364625 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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