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. This paper studies the diffusion control for multi-channel ANC systems over a distributed adaptive network based on filtered-x algorithms. Distribution of the controller network saves computational burden and yields spatial diversity, which has been explored alongside the temporal properties in order to enhance the robustness of the multi-channel control system and improve the convergence of the controllers. A group of diffusing Fx-like adaptive algorithms employing either the single- or multiple-measurement has been proposed for ANC. Different strategies, including the centralized, decentralized, incrementally distributed and diffusion control, have been compared. Simulation results show the improved performance of the proposed algorithms in terms of the convergence performance and stability.
Original language | English |
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Title of host publication | 24th International Congress on Sound and Vibration, ICSV 2017 |
Publisher | International Institute of Acoustics and Vibration, IIAV |
Publication status | Published - 1 Jan 2017 |
Event | 24th International Congress on Sound and Vibration, ICSV 2017 - London, United Kingdom Duration: 23 Jul 2017 → 27 Jul 2017 |
Conference
Conference | 24th International Congress on Sound and Vibration, ICSV 2017 |
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Country/Territory | United Kingdom |
City | London |
Period | 23/07/17 → 27/07/17 |
Keywords
- Active noise control
- Diffusion control
- Distributed adaptive network
- Filtered-x adaptive algorithm
ASJC Scopus subject areas
- Acoustics and Ultrasonics