基于黎曼几何的到达方向估计干扰抑制研究
On Interference-Rejection Using Riemannian Geometry for Direction of Arrival Estimation
AI总结：
针对多干扰源环境下的声源到达方向估计问题，提出基于厄米特正定矩阵黎曼几何的波束形成器与DoA估计方法，理论与实验均验证其能有效抑制干扰、提升信干比。
摘要：
我们研究在存在多个声学干扰源的情况下，估计目标声学声源到达方向的问题。所有声源均处于噪声与混响环境中，由麦克风阵列接收。我们提出一种基于厄米特正定矩阵流形的黎曼几何来设计波束形成器与DoA（到达方向）估计方法的新途径。具体而言，我们从理论上证明，将空间相关矩阵的黎曼均值引入常用波束形成器，可得到能抑制干扰源方向的空间谱，从而提升信干比。我们通过实验验证了在多个干扰源同时工作的场景下，该方法在设计多种波束形成器及一种最新DoA估计方法时的优势。
英文摘要：
We consider the problem of estimating the direction of arrival of desired acoustic sources in the presence of multiple acoustic interference sources. All the sources are located in noisy and reverberant environments and are received by a microphone array. We propose a new approach for designing beamformers and DoA estimation methods based on the Riemannian geometry of the manifold of Hermitian positive definite matrices. Specifically, we show theoretically that incorporating the Riemannian mean of the spatial correlation matrices into frequently-used beamformers gives rise to spatial spectra that reject the directions of interference sources and result in a higher signal-to-interference ratio. We experimentally demonstrate the advantages of our approach in designing several beamformers and a recent DoA estimation method in the presence of simultaneously active multiple interference sources.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
