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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

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


    Contributors:
    Liu, Kai-Hui (author) / Li, Xiangning (author) / Zhao, Haiyang (author) / Fan, Guoping (author)


    Publication date :

    2022-09-01


    Size :

    364625 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Direction Aided Multipath Channel Estimation for Millimeter Wave Systems

    Koirala, Remun / Uguen, Bernard / Dardari, Davide et al. | IEEE | 2021



    Channel Estimation for Millimeter Wave Wideband Massive MIMO Systems via Tensor Decomposition

    Cheng, Long / Yue, Guangrong / Xiong, Xinyu et al. | IEEE | 2019


    Channel Estimation Using Multi-stage Compressed Sensing for Millimeter Wave MIMO Systems

    Hadji, Baghdad / Aissa-El-Bey, Abdeldjalil / Fergani, Lamya et al. | IEEE | 2021


    Millimeter-Wave Massive MIMO Vehicular Channel Modeling

    Cheng, Xiang / Gao, Shijian / Yang, Liuqing | Springer Verlag | 2022