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
fDate :
11/1/1998 12:00:00 AM
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;
Journal_Title :
Control Systems Technology, IEEE Transactions on