利用相对谐波系数的解耦到达方向估计

Yonggang Hu, T. Abhayapala, P. Samarasinghe, S. Gannot
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引用次数: 8

摘要

传统的源到达方向估计算法通常同时定位高程和方位角,需要在二维空间中进行穷举搜索。相比之下,本文提出了两种解耦的源DOA估计算法,该算法使用了最近引入的一种称为相对谐波系数的源特征。由于相对谐波系数中的高程分量和方位角分量是解耦的,因此能够分别恢复源的高程分量和方位角分量。所提出的算法的突出特点是大大降低了计算复杂度,从而能够直接应用于声源跟踪。在静态声源和运动声源下的仿真结果表明,所提出的定位方法在达到一定的定位精度的同时,具有较高的计算效率。
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Decoupled Direction-of-Arrival Estimations Using Relative Harmonic Coefficients
Traditional source direction-of-arrival (DOA) estimation algorithms generally localize the elevation and azimuth simultaneously, requiring an exhaustive search over the two-dimensional (2-D) space. By contrast, this paper presents two decoupled source DOA estimation algorithms using a recently introduced source feature called the relative harmonic coefficients. They are capable to recover the source's elevation and azimuth separately, since the elevation and azimuth components in the relative harmonic coefficients are decoupled. The proposed algorithms are highlighted by a large reduction of computational complexity, thus enable a direct application for sound source tracking. Simulation results, using both a static and moving sound source, confirm the proposed methods are computationally efficient while achieving competitive localization accuracy.
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