Name
Abstract | ||
|---|---|---|
The centralized control for multi-channel active noise control (ANC) systems usually cost considerable processing power due to the transfer functions between a large number of loudspeakers and error microphones; while the decentralized control has the increased risk of global instability. Distribution of the controller network could save computational burden while maintaining satisfactory performance. A lot of ANC algorithms employing diffusion control have been proposed recently. The communication within diffusion networks introduces the estimation bias of each controller and makes it difficult to analyze the performance of the entire system. This paper analyzes the performance of the diffusion ANC network based on a family of diffusion filtered-x (Fx) algorithms employing either the single- or multiple-measurement. Difference equations describing the mean and mean squares convergence behaviors of these ANC systems are derived to characterize its optimal solution, estimation bias and variance. Simulations have been conducted to compare the performance of diffusion Fx algorithms and the effectiveness of the theoretical analysis. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.23919/EUSIPCO.2019.8903076 | 2019 27th European Signal Processing Conference (EUSIPCO) |
Keywords | Field | DocType |
active noise control (ANC),diffusion control,multitask problem,and performance analysis | Convergence (routing),Control theory,Decentralised system,Computer science,Algorithm,Transfer function,Active noise control,Loudspeaker | Conference |
ISSN | ISBN | Citations |
2219-5491 | 978-1-5386-7300-3 | 0 |
PageRank | References | Authors |
0.34 | 8 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Y. J. Chu | 1 | 1 | 1.03 |
| Shing-Chow Chan | 2 | 1153 | 107.69 |
| Y. Zhao | 3 | 0 | 0.34 |
| M. Wu | 4 | 1 | 1.03 |