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PIER PIER B PIER C PIER M PIER Letters PIER Photonics
2020-10-08
Robust Adaptive Beamforming Based on Interference-Plus-Noise Covariance Matrix Reconstruction Method
By
Yang Bi,

    Dr. Yang Bi

    Northwestern Polytechnical University

    China

    Homepage

Xi'an Feng,

    Dr. Xi'an Feng

    Northwestern Polytechnical University

    China

    Homepage

Tuo Guo

    Dr. Tuo Guo

    Shaanxi University of Science & Technology

    China

    Homepage

Progress In Electromagnetics Research M, Vol. 97, 87-96, 2020
doi:10.2528/PIERM20082003 | Google Scholar

Abstract
Aiming at the problem of look direction error in the desired signal, a novel robust adaptive beamforming method based on covariance matrix reconstruction is proposed. Firstly, the Sparse Bayesian Learning (SBL) is performed to acquire the true signal direction and the spatial spectrum simultaneously. Secondly, the SBL spatial spectrum is used to reconstruct the interference-plus-noise covariance matrix. Compared with other reconstruction algorithms, this approach can realize the position estimation without any optimization procedures. Theoretical analysis, simulation results and water pool experiments demonstrate the effectiveness and robustness of the propose algorithm.
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Citation
Yang Bi, Xi'an Feng, and Tuo Guo, "Robust Adaptive Beamforming Based on Interference-Plus-Noise Covariance Matrix Reconstruction Method," Progress In Electromagnetics Research M, Vol. 97, 87-96, 2020.
doi:10.2528/PIERM20082003
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