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第 41 卷 第 6 期                                                                       Vol. 41, No. 6
             2022 年 11 月                         Journal of Applied Acoustics                 November, 2022

             ⋄ 研究报告 ⋄


                       次级声源优化布放的局部空间有源降噪




                                  冯雨薇      1,2  王晓琳      1,2†  崔笑颜      1,2  杨 军    1,2†


                                     (1 中国科学院噪声与振动重点实验室 (声学研究所)            北京  100190)
                                                (2 中国科学院大学      北京  100049)

                摘要:针对区域有源降噪问题,为获得更优降噪效果,根据实际次级通路传递函数,提出次级声源优化布放
                的有源控制系统并详细比较了两种次级声源优化布放算法与次级声源均匀布放的实际降噪效果。应用的第
                一种次级声源优化算法是 l 2 范数约束的约束匹配追踪算法,第二种次级声源优化算法是 l 1 范数约束的稀疏
                正则化方法。在全消声室中利用扬声器线阵进行多通道有源降噪实验研究,实验结果表明,在 200∼1000 Hz,
                次级声源优化布放的控制系统的平均降噪量比次级声源均匀布放的控制系统的平均降噪量多 5 dB 左右;在
                1100∼1900 Hz,次级声源优化布放的控制系统的平均降噪量比次级声源均匀布放的控制系统的平均降噪量多
                11∼13 dB 左右,次级声源优化布放的控制系统的降噪量分布更加均匀且次级声源输出能量更小。此外,两种
                优化算法中,稀疏正则化方法的降噪效果更佳。
                关键词:有源噪声控制;次级声源优化布放;维纳滤波
                中图法分类号: TB535           文献标识码: A          文章编号: 1000-310X(2022)06-0920-09
                DOI: 10.11684/j.issn.1000-310X.2022.06.009


                 Local active noise control with the optimized secondary source placement


                             FENG Yuwei  1,2  WANG Xiaolin 1,2  CUI Xiaoyan 1,2  YANG Jun 1,2

                     (1 Key Laboratory of Noise and Vibration Research, Institute of Acoustics, Chinese Academy of Sciences,
                                                    Beijing 100190, China)
                                   (2 University of Chinese Academy of Sciences, Beijing 100049, China)

                 Abstract: For local active noise control, an active noise control system with the optimized secondary source
                 placement based on the actual secondary path transfer function is presented in this paper. The control system
                 is used to achieve a better control performance. The actual control performance of the system using two optimal
                 algorithms and the system using the uniformly placed secondary sources are compared in detail in this paper.
                 The first method is the constrained matching pursuit algorithm with l 2 norm constraint. The second method
                 is a sparsity-inducing regularization strategy with l 1 norm constraint. The multi-channel active noise control
                 experiment is carried out using a loudspeaker line array in an anechoic chamber. The experiment illustrates that
                 compared to the system using uniformly placed secondary sources, from 200 Hz to 1000 Hz, the system using
                 the optimal algorithms provides about 5 dB average noise reduction advantage and from 1100 Hz to 1900 Hz,
                 the system using the optimal algorithms provides about 11–13 dB average noise reduction advantage. The
                 control system based on optimal algorithms has a lower power of secondary sources and the noise reduction is
                 distributed more uniformly. Moreover, among the two optimal algorithms, the sparsity-inducing regularization
                 method has a better control performance.
                 Keywords: Active noise control; Optimized secondary source placement; Wiener filter

             2021-10-08 收稿; 2022-03-04 定稿
             作者简介: 冯雨薇 (1995– ), 女, 山东青岛人, 博士研究生, 研究方向: 有源噪声控制。
             † 通信作者 E-mail: wangxiaolin@mail.ioa.ac.cn; jyang@mail.ioa.ac.cn
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