Global and Local Mode-domain Adaptive Algorithms for Spatial Active Noise Control Using Higher-order Sources
Naoki Murata, Jihui Zhang, Yu Maeno, Yuki Mitsufuji
Abstract
The aim of spatial active noise control (ANC) is to attenuate noise over a certain space. Although a large-scale system is required to achieve spatial ANC, mode-domain signal processing makes it possible to reduce the computational cost and improve the performance. A higher-order source (HOS) has an advantage in sound field control due to its controllable directivity patterns. An array of HOS can suppress an undesired exterior sound propagation while occupying a smaller physical space than a conventional omnidirectional loudspeaker array. In this paper, we propose two types of adaptive algorithm for spatial ANC using HOSs, which provide a trade-off between efficiency and error robustness against loudspeaker placements. Numerical simulations in a reverberant environment show the efficacy of the proposed algorithms compared with the conventional multipoint adaptive spatial ANC algorithm.
BibTeX
@inproceedings{icassp2019_globalandlocalmo,
title = {Global and Local Mode-domain Adaptive Algorithms for Spatial Active Noise Control Using Higher-order Sources},
author = {Naoki Murata and Jihui Zhang and Yu Maeno and Yuki Mitsufuji},
booktitle = {ICASSP 2019},
year = {2019}
}