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计算机应用研究 2011
Research on simulation of adaptive diagonal loading method in beamforming
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Abstract:
When array error exists, the performance of Capon Beamforming Algorithm would be decreased sharply, especially the performance of the signal to interference and noise ratio (SINR) of the array output. Diagonal loading technique can suppress noise beamforming for the small eigen value, and improve the array performance and pattern aberration effectively, but loading value is hard to confirm. A diagonal loading method based on the relationship between loading value and sample covariance matrix to confirm the loading value is discussed in this paper, the method can determine the loading value adaptively according to sample data, provides an improved robustness when snapshot is small and array error exists, improve the array performance and reduce pattern aberration and can place the null in the direction of the interference accurately. The result of simulation demonstrates that this method is computationally robustness.