使用分裂RLS算法的自适应波束形成性能

I. Joo, Seungho Choi, Kiseon Kim
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引用次数: 1

摘要

本文提出了一种新的自适应波束形成方案。该方案基本是基于自适应干扰抑制方案之一的广义旁瓣抵消算法实现的。由于自适应滤波,GSC的实现需要复杂的计算。因此,我们提出了一种采用分割RLS算法的高效GSC。然而,这种方法由于分割向量之间的相关性导致了估计误差。为了减小估计误差,本文提出的GSC与Walsh块矩阵相结合,而不是与双对角矩阵相结合。综上所述,随着复杂度的降低,所提方法的SINR与全抽头解的SINR尽可能接近。当系统复杂度降低近一半时,该方法的信噪比比全抽头方案低1 dB。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance of adaptive beamforming using the split RLS algorithm
In this paper a novel adaptive beamforming scheme is described. This scheme is implemented basically based on the GSC (generalized sidelobe canceller) algorithm which is one of the famous adaptive interference suppression schemes. The implementation of GSC requires complex computations due to the adaptive filtering. Therefore, we propose an efficient GSC employing the split RLS algorithm. However, this method leads to an estimation error caused by the correlation between the split vectors. In order to reduce the estimation error the proposed GSC is combined with a Walsh blocking matrix instead of a bi-diagonal one. In conclusion, the SINR of the proposed method is as close as possible to the SINR obtained by full tap solution as its complexity decreases. When the system complexity decreases nearly half the SINR of the proposed method becomes 1 dB worse than that of the full tap solution.
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