A neural reference projection-based method for multi-reference active noise control (L)

The Journal of the Acoustical Society of America 2026

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Authors: Yiming He, Lu Bai, R K Li, Kai Chen, Jiancheng Tao, Xiaojun Qiu
DOI: 10.1121/10.0043891
Cited by: 1
References: 16

Abstract

In this Letter, a neural reference projection-based method is proposed for compressing multichannel reference signals in feedforward active noise control (ANC). The method is integrated with the filtered-x affine projection algorithm to form a neural reference projection-based filtered-x affine projection algorithm, thereby improving convergence speed and noise reduction performance. Using a real-vehicle road noise dataset, simulation results demonstrate that, in multi-reference ANC, faster convergence and higher broadband noise attenuation are achieved compared with conventional approaches.

Fields of Study & Subjects

Advanced Adaptive Filtering Techniques Vehicle Noise and Vibration Control Noise Effects and Management

Publication details

Journal / source
The Journal of the Acoustical Society of America
Publisher
Acoustical Society of America (ASA)
Volume
159
Issue
5
Pages
4482–4486
Publication date
1 May 2026
Language
EN