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AN INFORMED LCMV FILTER BASED ON MULTIPLE INSTANTANEOUS DIRECTION-OF-ARRIVAL ESTIMATES

机译:AN INFORMED LCMV FILTER BASED ON MULTIPLE INSTANTANEOUS DIRECTION-OF-ARRIVAL ESTIMATES

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Extracting sound sources in noisy and reverberant conditions remains a challenging task that is commonly found in modern communication systems. In this work, we consider the problem of obtaining a desired spatial response for at most L simultaneously active sound sources. The proposed spatial filter is obtained by minimizing the diffuse plus self-noise power at the output of the filter subject to L linear constraints. In contrast to earlier works, the L constraints are based on instantaneous narrowband direction-of-arrival estimates. In addition, a novel estimator for the diffuse-to-noise ratio is developed that exhibits a sufficiently high temporal and spectral resolution to achieve both dereverberation and noise reduction. The presented results demonstrate that an optimal tradeoff between maximum white noise gain and maximum directivity is achieved.
机译:在噪声和混响条件下提取声源仍然是现代通信系统中常见的一项具有挑战性的任务。在这项工作中,我们考虑的问题,获得所需的空间响应至多L L同时有源声源。在L线性约束下,通过最小化滤波器输出处的漫反射加自噪声功率来获得所提出的空间滤波器。与之前的工作相比,L约束基于瞬时窄带到达方向估计。此外,还开发了一种新的漫噪比估计器,该估计器具有足够高的时间和光谱分辨率,以实现去冗余和降噪。结果表明,在最大白噪声增益和最大方向性之间实现了最佳折衷。

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