ICASSP 2020accepted0 citations

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

Yu Maeno, Yuhta Takida, Naoki Murata, Yuki Mitsufuji

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.

BibTeX
@inproceedings{icassp2020_arraygeometryawa,
  title = {Array-Geometry-Aware Spatial Active Noise Control Based on Direction-of-Arrival Weighting},
  author = {Yu Maeno and Yuhta Takida and Naoki Murata and Yuki Mitsufuji},
  booktitle = {ICASSP 2020},
  year = {2020}
}