A Beamforming Method Based on Efficient Reconstruction Covariance Matrix
A technology of covariance matrix and beam, which is applied in the field of beamforming based on effective reconstruction of covariance matrix, can solve the problems of increased complexity and little performance improvement, and achieves the effect of improving output performance and avoiding increased complexity.
Active Publication Date: 2021-12-24
上海神添实业有限公司 +1
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[0012] The purpose of the present invention is to provide a beamforming method based on effectively reconstructing the covariance matrix, so as to solve the problem that the beamformer reconstructed from the existing interference noise covariance matrix has higher performance under the condition of high input signal-to-noise ratio. The problem of small performance improvement and greatly increased complexity in the case of low input signal-to-noise ratio
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[0076] The present invention will be further described below through specific embodiments in conjunction with the accompanying drawings. These embodiments are only used to illustrate the present invention, and are not intended to limit the protection scope of the present invention.
[0077] The present invention proposes a robust adaptive beamforming method based on effectively reconstructing a covariance matrix by deeply analyzing the influence of the input signal-to-interference-noise ratio (SNR) on the output performance of a beamformer. This method introduces a judgment factor as the criterion of whether the algorithm reconstructs the covariance matrix. Firstly, the power spectrum estimation algorithm is used to estimate the direction of the expected signal angle. Construct the covariance matrix under different signal-to-noise ratios (SNR), that is, there is no need to reconstruct the covariance matrix under low signal-to-noise ratio (SNR), and the covariance matrix reconst...
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The invention discloses a robust adaptive beamforming method based on effectively reconstructing a covariance matrix. This method introduces a judgment factor as the criterion for whether the algorithm reconstructs the covariance matrix. Firstly, the power spectrum estimation algorithm is used to estimate the angle direction of the expected signal. The covariance matrix under different SNR conditions, that is, there is no need to reconstruct the covariance matrix under low SNR, and the covariance matrix reconstruction method is used under high SNR, and finally the array weight vector is obtained to finally achieve the guaranteed Beamformer output performance while reducing its computational complexity. The invention still has better output performance under the condition of high signal-to-noise ratio. The present invention adds a threshold judging process, uses the expected signal to be estimated as a critical condition, and can well balance the relationship between complexity and output performance.
Description
technical field [0001] The invention relates to the technical field of beamforming and the field of signal processing, in particular to a beamforming method based on effectively reconstructing a covariance matrix. Background technique [0002] Adaptive beamforming technology can adaptively change the size of the weight vector according to the changing characteristics of the external environment and the characteristics of the received signal, so as to ensure that the desired signal can be received without distortion and the interference performance can be suppressed to the greatest extent, so it can be applied to more complex projects The application environment has broad application prospects. [0003] The beamformer uses the array weight vector to achieve the purpose of aligning the main lobe beam with the desired signal direction and the null trap with the interference signal direction, and the optimal weight vector is based on the accuracy of the interference noise matrix...
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IPC IPC(8): H04B7/08
CPCH04B7/086
Inventor 雷舒杰张军星王雪博王帅蒲彬吴迎春史方明
Owner 上海神添实业有限公司