• DocumentCode
    1439951
  • Title

    Multiple channel hybrid active noise control systems

  • Author

    Kong, Xuan ; Liu, Pu ; Kuo, Sen M.

  • Author_Institution
    Dept. of Electr. Eng., Northern Illinois Univ., DeKalb, IL, USA
  • Volume
    6
  • Issue
    6
  • fYear
    1998
  • fDate
    11/1/1998 12:00:00 AM
  • Firstpage
    719
  • Lastpage
    729
  • Abstract
    This paper introduces a multiple-channel hybrid filtered-X least mean square (MHFLMS) active noise control (ANC) algorithm. The algorithm is capable of cancelling both narrow-band and broadband noises in complicated noise environments. The algorithm structure is discussed under a very general active noise cancelling condition. The MHFLMS algorithm is an integration of a multiple-channel filtered-X least mean square algorithm and a multiple-channel feedback filtered-X least mean square algorithm. The MHFLMS algorithm performance is analyzed for its steady-state noise cancelling behavior. Extensive computer simulations verify that the MHFLMS algorithm outperforms several existing ANC algorithms under various noise cancelling conditions. Analysis results of the actual noise from a large plant for which a real-time ANC system is being developed also demonstrate the performance advantages of the MHFLMS algorithm over the other ANC algorithms
  • Keywords
    MIMO systems; acoustic signal processing; active noise control; adaptive signal processing; least mean squares methods; real-time systems; MIMO systems; acoustic noise; active noise control; adaptive signal processing; broadband noise; hybrid systems; multiple-channel hybrid filtered least mean square; narrow-band noise; noise cancelling; real-time systems; Active noise reduction; Algorithm design and analysis; Control systems; Feedback; Least mean square algorithms; Narrowband; Noise cancellation; Performance analysis; Steady-state; Working environment noise;
  • fLanguage
    English
  • Journal_Title
    Control Systems Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6536
  • Type

    jour

  • DOI
    10.1109/87.726533
  • Filename
    726533