In this study, a robust adaptive beamformer based on constant modulus (CM) criteria is developed to improve the robustness of the array beamforming, which is a reconstructing minimal optimization for solving the mismatch problem of weight vector caused by steering vector mismatch. In the global positioning system (GPS) L1 band, firstly, a GPS array signal is modelled by designing a dual-polarized antenna array. Secondly, the distortion problem of beamforming is formulated in the traditional minimum variance distortionless response (MVDR) beamformer. For repairing the weight vector mismatch problem, a novel beamformer based on the CM envelope response is proposed to reconstruct MVDR beamforming in the array processing. Besides, min-max penalty criteria are used to enable the beamformer to allocate more degrees of freedom (DOFs) when penalizing the MVDR beamformer responses. Finally, an auxiliary two-element real variable is designed to plan the proposed beamformer. But it is still a nonconvex quadratic programming problem, so an alternating direction method of multipliers (ADMM) is employed to transform the objective function into several subproblems. Illustrative numerical simulation results are provided for validating the effectiveness of the proposed beamformer by comparing it with other existing approaches.


    Access

    Download


    Export, share and cite



    Title :

    Robust Adaptive Beamformer Based on Constant Modulus Penalty Criteria


    Contributors:
    Chuanhui Hao (author) / Bin Zhang (author) / Xubao Sun (author)


    Publication date :

    2023




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




    A Robust Adaptive Beamformer for Multi-path Signal Reception

    Yu, Lei / Liu, Wei / Langley, Richard | IEEE | 2008


    Iterative Constrained Least Squares for Robust Constant Modulus Beamforming

    Xue Jiang / Hing Cheung So / Wen-Jun Zeng et al. | IEEE | 2017


    Adaptive Widely Linear Constrained Constant Modulus Reduced-Rank Beamforming

    Xiaomin Wu / Yunlong Cai / Minjian Zhao et al. | IEEE | 2017


    Preamble based Adaptive Beamformer for Hybrid Terrestrial-Satellite Mobile System

    Khan, A. / Imran, M. / Evans, B. et al. | British Library Conference Proceedings | 2010


    Preamble based Adaptive Beamformer for Hybrid Terrestrial-Satellite Mobile System

    Khan, Ammar / Imran, Muhammad / Imran, A. et al. | AIAA | 2010