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

1
Audio & Acoustic Signal Processing Group, College of Engineering and Computer Science, Australian National University, Canberra 2601, Australia
2
Center of Intelligent Acoustics and Immersive Communications, School of Marine Science and Technology, Northwestern Polytechnical University, Xi′an 710072, China
*
Author to whom correspondence should be addressed.
Appl. Sci. 2019, 9(6), 1250; https://doi.org/10.3390/app9061250
Received: 28 February 2019 / Revised: 20 March 2019 / Accepted: 20 March 2019 / Published: 25 March 2019
(This article belongs to the Special Issue Active and Passive Noise Control)
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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. View Full-Text
Keywords: active noise control (ANC); performance analysis; wave domain; spatial noise; reverberant room active noise control (ANC); performance analysis; wave domain; spatial noise; reverberant room
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Zhang, J.; Abhayapala, T.D.; Zhang, W.; Samarasinghe, P.N. Active Noise Control over Space: A Subspace Method for Performance Analysis. Appl. Sci. 2019, 9, 1250.

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