This paper introduces a multiple-channel hybrid filtered-X least mean
square (MHFLMS) active noise control (ANC) algorithm. The algorithm is
capable of canceling both narrow-band and broad-band noises in compli
cated noise environments, The algorithm structure is discussed under a
very general active noise canceling condition, The MHFLMS algorithm i
s an integration of a multiple-channel filtered-X least mean square (M
FXLMS) algorithm and a multiple-channel feedback filtered-x least mean
square (MFBLMS) algorithm. The MHFLMS algorithm performance is analyz
ed for its steady-state noise canceling behavior. Extensive computer s
imulations verify that the MHFLMS algorithm outperforms several existi
ng ANC algorithms under various noise canceling conditions. Analysis r
esults of the actual noise from a large plant for,which a real-time AN
C system is being developed also demonstrate the performance advantage
s of the MHFLMS algorithm over the other ANC algorithms.