In this study, a 2D adaptive beamforming algorithm for sparsearray is proposed. Firstly, a signal model based on matrix completion theory for adaptive beamforming in sparsearray is established, which is proved to sa...
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In this study, a 2D adaptive beamforming algorithm for sparsearray is proposed. Firstly, a signal model based on matrix completion theory for adaptive beamforming in sparsearray is established, which is proved to satisfy null space property. Secondly, in order to enhance the performance of reconstructing complete received signal matrix, genetic algorithm is used to optimise the sparse sampling array. Thirdly, the accelerated proximal gradient algorithm is adopted to reconstruct the complete received signal matrix. Finally, the adaptive beamforming weight is provided directly to form beam patterns, which can be obtained as a result of reconstructing complete received signal matrix. The proposed method could improve the utilisation rate of the sparsearray elements and reduce the computational complexity in interference suppression. Simulation results show the effectiveness of the method.
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