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080 - Virtual error approach for direct multichannel adaptive active sound control
Sano A., kamata M., Sasaki E., Nagata T.
Abstract
A virtual error approach for direct adaptive control is proposed for general multichannel active noise control (ANC) and multichannel sound reproduction (SRP) when all of the sound transmission path dynamics are uncertain and changeable. To reduce the canceling or reconstruction errors, two kinds of virtual errors are introduced and are forced into zero by adjusting three adaptive FIR filter matrices in an on-line manner, by which the convergence of the actual canceling errors to zero can also be attained as the result at the objective points. Unlike other conventional approaches, the proposed algorithm can give an inverse controller directly without need of explicit identification of the secondary path channels, and requires neither any dither signals nor the PE (persistently excitation) property of the source signals, which is a great advantage of the proposed approach. The stability of the adaptive algorithm and boundedness of the errors can be assured. The multichannel SRP can also be treated as a special case of the multichannel ANC, and can be realized by the proposed fully direct adaptive algorithm. Two types of the virtual error based multichannel adaptive algorithm are proposed, which are executed in time-domain and frequency domain. The proposed frequency domain algorithm can reduce computational burden. To validate its effectiveness, experimental results obtained by the proposed frequency domain algorithm are also shown, where real-time adaptive sound control using four loudspeaker and two microphones is realized even though the secondary path channels are all uncertain.
Citation
Sano A.; kamata M.; Sasaki E.; Nagata T.: Virtual error approach for direct multichannel adaptive active sound control, CD-ROM Proceedings of the Thirtheenth International Congress on Sound and Vibration (ICSV13), July 2-6, 2006, Vienna, Austria, Eds.: Eberhardsteiner, J.; Mang, H.A.; Waubke, H., Publisher: Vienna University of Technology, Austria, ISBN: 3-9501554-5-7