TY - GEN
T1 - Active noise control using STF for time-vary delay estimation in secondary path based on DFxLMS
AU - Sun, Jia
AU - Sun, Chang Yin
AU - Yu, Yao
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/9/27
Y1 - 2016/9/27
N2 - This article is based on a delay filter-x least mean square (DFxLMS) algorithm which considers secondary path as a delay and uses strong tracking filter (STF) algorithm to estimate the time delay parameter, in order to solve the noise elimination problem in active noise control (ANC) system. The key point of the proposed method is that the delay of secondary path can be seen as a state which can be estimated by STF. The proposed method take into account the balance among the computation time, the real-time performance and the system robustness. At the same time, it also has a certain satisfactory noise reduction effect. Simulation results in single channel ANC system will be presented, showing the feasibility of the proposed algorithm. The recorded data from real sound field in train compartment is used in multichannel ANC system simulation, to further prove the effectiveness of the method in practice.
AB - This article is based on a delay filter-x least mean square (DFxLMS) algorithm which considers secondary path as a delay and uses strong tracking filter (STF) algorithm to estimate the time delay parameter, in order to solve the noise elimination problem in active noise control (ANC) system. The key point of the proposed method is that the delay of secondary path can be seen as a state which can be estimated by STF. The proposed method take into account the balance among the computation time, the real-time performance and the system robustness. At the same time, it also has a certain satisfactory noise reduction effect. Simulation results in single channel ANC system will be presented, showing the feasibility of the proposed algorithm. The recorded data from real sound field in train compartment is used in multichannel ANC system simulation, to further prove the effectiveness of the method in practice.
UR - https://www.scopus.com/pages/publications/84991579910
U2 - 10.1109/WCICA.2016.7578797
DO - 10.1109/WCICA.2016.7578797
M3 - 会议稿件
AN - SCOPUS:84991579910
T3 - Proceedings of the World Congress on Intelligent Control and Automation (WCICA)
SP - 3346
EP - 3352
BT - Proceedings of the 2016 12th World Congress on Intelligent Control and Automation, WCICA 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 12th World Congress on Intelligent Control and Automation, WCICA 2016
Y2 - 12 June 2016 through 15 June 2016
ER -