Adaptive active noise control without secondary path identification

A fully adaptive feedforward control algorithm is proposed for general active noise control (ANC) when all the path dynamics are uncertain. To reduce the actual canceling error, two virtual errors are introduced and are forced into zero by adjusting three adaptive FIR filters in an on-line manner, which can result in the canceling at the objective point. Unlike other conventional approaches, the algorithm does not need exact identification of the secondary paths, and requires neither any dither signal nor the PE property of the source noise. The effectiveness of the proposed algorithm is validated in experiments of ANC using an air duct.