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Optimal array signal processing in unknown noise environments via parametric a

机译:通过参数a在未知噪声环境中的最佳阵列信号处理

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Abstract: In this paper, under the assumption that noise correlation is spatially limited, using two separated arrays, we propose a new parametric approach for consistent directions of arrival (DOA) estimations in unknown noise environments. The theoretical performance analysis of the proposed DOA estimations is also presented. With the use of the theoretical performance, the best weighting matrices of the parametric criteria have been derived. More significantly, it has been shown that within the best weighted criteria, using canonical decomposition, we can achieve optimal performance of the DOA estimation among a large set of eigendecompositions. !18
机译:摘要:在本文中,在假设噪声相关性在空间上受限制的情况下,使用两个分离的阵列,我们针对未知噪声环境中的一致到达方向(DOA)估计提出了一种新的参数方法。还对提出的DOA估计进行了理论性能分析。利用理论性能,得出了参数标准的最佳加权矩阵。更重要的是,已经表明,在最佳加权标准内,使用规范分解,我们可以在大量特征分解中实现DOA估计的最佳性能。 !18

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