Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/107145
Title: Exploiting the underdetermined system in multichannel active noise control for open windows
Authors: He, Jianjun
Lam, Bhan
Shi, Dongyuan
Gan, Woon Seng
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Active Noise Control
Multichannel Control
Issue Date: 2019
Source: He, J., Lam, B., Shi, D., & Gan, W. S. (2019). Exploiting the underdetermined system in multichannel active noise control for open windows. Applied Sciences, 9(3), 390-. doi:10.3390/app9030390
Series/Report no.: Applied Sciences
Abstract: Active noise control (ANC) is a re-emerging technique to mitigate noise pollution. To reduce the noise power in large spaces, multiple channels are usually required, which complicates the implementation of ANC systems. In this paper, we separate the multichannel ANC problem into two subproblems, where the subproblem of computing the control filter is usually an underdetermined problem. Therefore, we could leverage the underdetermined system to simplify the ANC system without degrading the noise reduction performance. For a single incidence, we compare the conventional fully-coupled (pseudoinverse) multichannel control with the colocated (diagonal) control method and find that they can achieve equivalent performance, but the colocated control method is less computationally intensive. Furthermore, the underdetermined system presents an opportunity to control noise from multiple incidences with one common fixed filter. Both the full-rank and the overdetermined optimal control filters are realized. The performance of these control methods was analyzed numerically with the Finite Element Method (FEM) and the results validate the feasibility of the full-rank and overdetermined optimal control methods, where the latter could even offer more robust performance in more complex noise scenarios.
URI: https://hdl.handle.net/10356/107145
http://hdl.handle.net/10220/49037
ISSN: 2076-3417
DOI: 10.3390/app9030390
Rights: © 2019 The Authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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