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• W4384485909 abstract "Abstract When the desired signal data exists in the array received data or the steering vector has a mismatch problem, the current traditional adaptive beamformers will suffer from the effect of the desired signal cancellation phenomenon, resulting in a sharp decline in performance. To address the occurrence of desired signal cancellation, an improved matrix projection-based efficient beamforming method is proposed. Firstly, based on spatial partitioning technology, a significant projection matrix for interference-plus-noise space (INS) is constructed. Secondly, using the constructed key projection matrix, the sample data covariance matrix is projected into the INS to achieve the goal of suppressing the desired signal data information. Finally, the weight data vector is calculated by Capon beamformer. The proposed algorithm does not require iterative search for the optimal solution, which has the advantage of a small amount of calculation. Simulation experiments have verified that the proposed method has significant advantages in suppressing the desired data signals. Especially when the desired data signal has a large power, the signal-to-interference-plus-noise ratio (SINR) of the proposed algorithm is better than that of the compared algorithms under the conditions of random directionality errors or local scattering errors between the desired signal and interference." @default.
• W4384485909 created "2023-07-17" @default.
• W4384485909 creator A5050033234 @default.
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• W4384485909 date "2023-07-17" @default.
• W4384485909 modified "2023-09-23" @default.
• W4384485909 title "A Novel Adaptive Beamforming Scheme for Array Signal Data Processing" @default.
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• W4384485909 doi "https://doi.org/10.21203/rs.3.rs-3148641/v1" @default.
• W4384485909 hasPublicationYear "2023" @default.
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