| Title |
Stabilized Adaptive Fuzzy LMS Algorithms for Active Noise Control |
| Authors |
안동준(Ahn, Dong-Jun) ; 백광현(Baek, Kwang-Hyun) ; 남현도(Nam, Hyun-Do) |
| DOI |
https://doi.org/10.5370/KIEE.2011.60.1.150 |
| Keywords |
Active noise control ; Adaptive filter ; Stabilized algorithm ; Fuzzy LMS algorithm |
| Abstract |
In an active noise control systems, an IIR filter may cause a problem in stability beacause of its poles. For IIR filter, its poles goes sometimes out of a unit circle in a z-plane in the transition state, where the adaptive algorithm converges to the optimum value, which causes the system to diverge. Fuzzy LMS algorithm has a better convergence property than conventional LMS algorithms, but is not applicable to IIR filter because of the reasons. Stabilized adaptive algorithm could be improves stability by moving the pole of IIR filer toward the origin forcibly in the transient state, and by introducing forgetting factor to maintain the optimum convergence when it reaches to the steady state. In this paper, We proposed stabilized adaptive fuzzy LMS algorithms with IIR filter structures, for single channel active noise control with ill conditioned signal case. Computer simulations were performed to show the effectiveness of a proposed algorithm. |