Analysis of the adaptive filter algorithm for feedback-type active noise control

被引:0
|
作者
Sakai, H [1 ]
Miyagi, S [1 ]
机构
[1] Kyoto Univ, Grad Sch Informat, Dept Syst Sci, Sakyo Ku, Kyoto 6068501, Japan
关键词
D O I
暂无
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
The feedback-type active noise control (ANC) system uses only one microphone to provide necessary signals for adjusting the adaptive filter. Due to the complicated nature of the whole adaptive filter structure there have been no theoretical results about its convergence properties. In this paper, first a stationary point of the adaptive filter using the filtered-X LMS algorithm is obtained by the averaging method combined with the frequency domain technique. Then the local convergence condition is derived. This is a counterpart of the well-known 90degrees condition for the feedforward-type ANC. Finally, the convergence condition is explicitly given for a simple example and its validity is shown by some simulations.
引用
收藏
页码:3841 / 3844
页数:4
相关论文
共 50 条
  • [1] Analysis of the adaptive filter algorithm for feedback-type active noise control
    Sakai, H
    Miyagi, S
    SIGNAL PROCESSING, 2003, 83 (06) : 1291 - 1298
  • [2] On Adaptation of Cancelation Path Modeling Filter in Single-Channel Feedback-Type Adaptive Active Noise Control Systems
    Akhtar, Muhammad Tahir
    Lim, Markus V. S.
    Diniz, Paulo S. R.
    2020 IEEE 63RD INTERNATIONAL MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS (MWSCAS), 2020, : 852 - 855
  • [3] Active Noise Control Algorithm using Switched Adaptive Filter
    Hong, Zhao
    2014 INTERNATIONAL CONFERENCE ON MECHATRONICS AND CONTROL (ICMC), 2014, : 120 - 123
  • [4] An active noise control algorithm with gain and power constraints on the adaptive filter
    Kozacky, Walter J.
    Ogunfunmi, Tokunbo
    EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING, 2013,
  • [5] An active noise control algorithm with gain and power constraints on the adaptive filter
    Walter J Kozacky
    Tokunbo Ogunfunmi
    EURASIP Journal on Advances in Signal Processing, 2013
  • [6] Feedback-type rate-based congestion control with adaptive parameter
    Ohta, C
    Yamamoto, M
    Ikeda, H
    ELECTRONICS AND COMMUNICATIONS IN JAPAN PART I-COMMUNICATIONS, 1997, 80 (02): : 44 - 54
  • [7] Adaptive reduced feedback FLNN filter for active control of nonlinear noise processes
    Zhao, Haiquan
    Zeng, Xiangping
    Zhang, Jiashu
    SIGNAL PROCESSING, 2010, 90 (03) : 834 - 847
  • [8] Stochastic Analysis of FxLMS Algorithm for Feedback Active Noise Control
    Wang, Cong
    Wu, Ming
    Zhou, Shuang
    Yang, Jun
    IEEE SIGNAL PROCESSING LETTERS, 2025, 32 : 416 - 420
  • [9] Active impulsive noise control algorithm with post adaptive filter coefficient filtering
    Wu, Lifu
    Qiu, Xiaojun
    IET SIGNAL PROCESSING, 2013, 7 (06) : 515 - 521
  • [10] An adaptive feedback active noise control system
    Tsuei, TG
    Srinivasa, A
    Kuo, SM
    PROCEEDINGS OF THE 2000 IEEE INTERNATIONAL CONFERENCE ON CONTROL APPLICATIONS, 2000, : 249 - 254