论文标题

带有多个频率的无网状DOA估计

Gridless DOA Estimation with Multiple Frequencies

论文作者

Wu, Yifan, Wakin, Michael B., Gerstoft, Peter

论文摘要

到达方向(DOA)估计广泛应用于声源定位。多频模型适合表征声学信号中的宽带结构。在本文中,考虑了具有多个频率的连续(无网状DOA估计问题)。该问题被称为原子规范最小化(ANM)问题。 ANM问题等同于半准计划(SDP),该程序可以通过现成的SDP求解器来解决。提供双重证书条件以证明SDP解决方案的最佳性,以便可以通过找到多项式的根来定位来源。我们还构建双重多项式以满足双重证书条件,并表明当源幅度具有均匀尺寸时,存在这种结构。在多频性ANM中,在较高频率下的空间混叠可能会引起挑战。我们广泛讨论了这个问题,并提出了一种强大的解决方案来打击混叠。数值结果支持我们的理论发现,并证明了所提出方法的有效性。

Direction-of-arrival (DOA) estimation is widely applied in acoustic source localization. A multi-frequency model is suitable for characterizing the broadband structure in acoustic signals. In this paper, the continuous (gridless) DOA estimation problem with multiple frequencies is considered. This problem is formulated as an atomic norm minimization (ANM) problem. The ANM problem is equivalent to a semi-definite program (SDP) which can be solved by an off-the-shelf SDP solver. The dual certificate condition is provided to certify the optimality of the SDP solution so that the sources can be localized by finding the roots of a polynomial. We also construct the dual polynomial to satisfy the dual certificate condition and show that such a construction exists when the source amplitude has a uniform magnitude. In multi-frequency ANM, spatial aliasing of DOAs at higher frequencies can cause challenges. We discuss this issue extensively and propose a robust solution to combat aliasing. Numerical results support our theoretical findings and demonstrate the effectiveness of the proposed method.

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