Array-Geometry-Aware Spatial Active Noise Control Based on Direction-of-Arrival Weighting

Yu Maeno, Yuhta Takida, Naoki Murata, Yuki Mitsufuji
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Abstract

Active noise control (ANC) over a sizeable space ideally requires uniformly distributed sensors and secondary sources, which limits the feasibility of practically realizing such systems. In this paper, we propose a direction of arrival (DOA) weighting algorithm for the adaptive filter update, which prioritizes residual error control with respect to the array geometry. Array geometries utilizing multiple horizontal rings, which are considered as more practical than spherical array geometries, are introduced into both sensors and secondary sources. Numerical simulations indicate that the proposed method using multiple-horizontal-ring arrays gives higher noise attenuation performance than the conventional method. The DOA weighting can be intuitively defined on the basis of the secondary source array geometry without any prior information of the primary noise field.
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基于到达方向加权的阵列几何感知空间主动噪声控制
在相当大的空间内,主动噪声控制(ANC)理想地需要均匀分布的传感器和二次源,这限制了实际实现此类系统的可行性。在本文中,我们提出了一种自适应滤波器更新的到达方向(DOA)加权算法,该算法优先考虑阵列几何形状的残余误差控制。利用多个水平环的阵列几何形状被认为比球面阵列几何形状更实用,被引入到传感器和二次源中。数值模拟表明,采用多水平环阵列的方法比传统方法具有更高的噪声衰减性能。在不需要一次噪声场先验信息的情况下,可以直观地根据二次源阵的几何形状来确定DOA权重。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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