TY - GEN
T1 - A Frequency-Weighted Leaky Fxlms Algorithm with Application to Feedback Active Noise Control Systems
AU - Tang, Yu
AU - Zhang, Hongwei
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The trouble caused by instability of the controller and output saturation can destroy noise reduction performance of feedback active noise control (ANC) systems. Based on the traditional leaky filtered-x least mean square (FxLMS) algorithm, a frequency-weighted leaky FxLMS algorithm is proposed in this paper, where the weight factors of the proposed algorithm are characterized in frequency-domain and can be calculated directly by solving a constrained optimization problem. Moreover, it possesses the ability to depress the control filter only at a few frequencies, which are associated with instability of the controller or output saturation, to cut down loss in noise reduction performance. Simulations and experiments are conducted in a duct ANC system to illustrate the feasibility of our algorithm.
AB - The trouble caused by instability of the controller and output saturation can destroy noise reduction performance of feedback active noise control (ANC) systems. Based on the traditional leaky filtered-x least mean square (FxLMS) algorithm, a frequency-weighted leaky FxLMS algorithm is proposed in this paper, where the weight factors of the proposed algorithm are characterized in frequency-domain and can be calculated directly by solving a constrained optimization problem. Moreover, it possesses the ability to depress the control filter only at a few frequencies, which are associated with instability of the controller or output saturation, to cut down loss in noise reduction performance. Simulations and experiments are conducted in a duct ANC system to illustrate the feasibility of our algorithm.
KW - Active noise control
KW - constrained optimization
KW - leaky FxLMS
KW - output saturation
KW - stability
UR - https://www.scopus.com/pages/publications/86000379431
U2 - 10.1109/ICASSP49357.2023.10097177
DO - 10.1109/ICASSP49357.2023.10097177
M3 - 会议稿件
AN - SCOPUS:86000379431
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
BT - ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023
Y2 - 4 June 2023 through 10 June 2023
ER -