Online multi-channel secondary path modeling in active noise control without auxiliary noise

被引:6
|
作者
Hu, Meiling [1 ,2 ]
Xue, Jinpei [1 ]
Lu, Jing [1 ,2 ]
机构
[1] Nanjing Univ, Inst Acoust, Key Lab Modern Acoust, Nanjing 210093, Peoples R China
[2] Nanjing Inst Adv Artificial Intelligence, Nanjing 210014, Peoples R China
来源
基金
中国国家自然科学基金;
关键词
SIMULTANEOUS EQUATION METHOD; CONTROL SYSTEM; ALGORITHM; FILTER;
D O I
10.1121/1.5129380
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
Online secondary path modeling is always appealing in active noise control due to the benefit of tracking the variations in the secondary path while exerting noise control simultaneously. However, the auxiliary noise usually utilized in online modeling contributes to the residual noise and deteriorates the noise control performance. This problem is more severe in multi-channel active control systems. Recently, it has been revealed that the secondary path can be identified using the output of the control source directly without injecting any auxiliary noise. In this letter, this strategy is extended to the multi-channel case. The reliability of the secondary path modeling is theoretically proven, and the effectiveness of the proposed multi-channel simultaneous modeling and control system is validated through simulations using measured impulse responses. VC 2019 Acoustical Society of America.
引用
收藏
页码:2590 / 2595
页数:6
相关论文
共 50 条
  • [41] Modification of frequency-domain active noise control algorithm without secondary path modeling
    Chen, Kai
    Niu, Feng
    Zou, Haishan
    Lu, Jing
    JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 2021, 149 (02): : 1021 - 1029
  • [42] Improving active noise control without secondary path modeling using subband phase estimation
    Chen, Kai
    Xue, Jinpei
    Lu, Jing
    Qiu, Xiaojun
    JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 2020, 147 (02): : 1275 - 1283
  • [43] A Robust Active Noise Control Algorithm without identifying secondary path
    Thai, Hieu
    Ta, Minh
    DeBrunner, Victor
    2008 42ND ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS, VOLS 1-4, 2008, : 1644 - 1648
  • [44] On active noise control systems with online acoustic feedback path modeling
    Akhtar, Muhammad Tahir
    Abe, Masahide
    Kawamata, Masayuki
    IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2007, 15 (02): : 593 - 600
  • [45] Multi-channel active noise control for periodic sources - indirect approach
    Wu, BQ
    Bodson, M
    AUTOMATICA, 2004, 40 (02) : 203 - 212
  • [46] Multi-channel Active Noise Control Using Parametric Array Loudspeakers
    Tanaka, Kihiro
    Shi, Chuang
    Kajikawa, Yoshinobu
    2014 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA), 2014,
  • [47] A Novel Minimax Algorithm for Multi-channel Active Noise Control System
    Jain, Manish
    Kumar, Arun
    Bahl, Rajendar
    PROCEEDINGS OF THE 12TH INTERNATIONAL SYMPOSIUM ON IMAGE AND SIGNAL PROCESSING AND ANALYSIS (ISPA 2021), 2021, : 115 - 119
  • [48] Multi-channel active noise control with freely movable quiet zone
    Kajikawa, Y
    Nomura, Y
    ISSPA 2005: THE 8TH INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND ITS APPLICATIONS, VOLS 1 AND 2, PROCEEDINGS, 2005, : 767 - 770
  • [49] Multi-channel active noise control with freely movable error microphones
    Kajikawa, Y
    Nomura, Y
    2005 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1-5: SPEECH PROCESSING, 2005, : 149 - 152
  • [50] Secondary Path Modeling Method for Active Noise Control of Power Transformer
    Zhao, Tong
    Liang, Jiabi
    Liang, Yuanbin
    Wang, Lixin
    Pei, Xiugao
    Li, Peng
    PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON APPLIED MECHANICS, MECHATRONICS AND INTELLIGENT SYSTEMS (AMMIS2015), 2016, : 427 - 433