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A new method for noise subspace estimation based on the spatial smoothing Lanczos algorithm

机译:基于空间平滑Lanczos算法的噪声子空间估计新方法

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A new method is proposed to estimate a noise subspace. It is shown that the redundant prefilters of the multistage Wiener filter (MSWF) are capable of creating an orthogonal basis for the noise subspace. Based on the classical spatial smoothing technique and the Lanczos algorithm, a novel technique is presented to obtained the noise subspace in the case of coherent signals. The new estimator outperforms its counterparts in terms of computational complexity. Finally, the theoretical observations are illustrated by numerical results.
机译:提出了一种估计噪声子空间的新方法。结果表明,多级维纳滤波器(MSWF)的冗余预滤波器能够为噪声子空间创建正交基础。基于经典的空间平滑技术和Lanczos算法,提出了一种在相干信号情况下获得噪声子空间的新技术。新的估算器在计算复杂度方面胜过其同类产品。最后,数值结果说明了理论观察。

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