Robust Adaptive Algorithm for Multi-Channel Active Noise Control

Abstract A multi-channel adaptive active noise control system is studied in this paper, which involves a multiple number of primary noise sources, noise reference microphones, secondary control sources and cancelling error detection microphones. First, a general structure of the multi-channel active noise control system is clarified and a perfect cancellation condition by a feedforward controller is presented. Secondly, a new LMS type of robust adaptive algorithm for updating the feedforward controllers is proposed, which can assure a stability of the adaptation and keep the each cancelling error within a tight bound by efficiently using prior information on each upper bound of the uncertainty terms. In experimental studies using an air duct, the proposed algorithm is compared with an ordinary filtered-x algorithm which does not always possess the property of stable convergence.

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