Active Noise Control over Space: A Subspace Method for Performance Analysis release_6lu6usx2x5hfrk7qy67eufaoti

by Jihui Zhang, Thushara Abhayapala, Wen Zhang, Prasanga Samarasinghe

Published in Applied Sciences by MDPI AG.

2019   p1250

Abstract

In this paper, we investigate the maximum active noise control performance over a three-dimensional (3-D) spatial space, for a given set of secondary sources in a particular environment. We first formulate the spatial active noise control (ANC) problem in a 3-D room. Then we discuss a wave-domain least squares method by matching the secondary noise field to the primary noise field in the wave domain. Furthermore, we extract the subspace from wave-domain coefficients of the secondary paths and propose a subspace method by matching the secondary noise field to the projection of primary noise field in the subspace. Simulation results demonstrate the effectiveness of the proposed algorithms by comparison between the wave-domain least squares method and the subspace method, more specifically the energy of the loudspeaker driving signals, noise reduction inside the region, and residual noise field outside the region. We also investigate the ANC performance under different loudspeaker configurations and noise source positions.
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Date   2019-03-25
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ISSN-L:  2076-3417
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