Zhang, WenHofmann, ChristianBurger, MichaelAbhayapala, ThusharaKellermann, Walter2020-05-27March 5-99781509041176http://hdl.handle.net/1885/204685The performance of an ANC system largely depends on the availability of an accurate secondary path model. This is however a major challenge in multichannel ANC where the computational complexity increases significantly with the number of secondary sources and error sensors. This paper proposes wave-domain adaptive processing algorithm for multichannel ANC with online secondary modelling to cancel a tonal noise over a region of space within a reverberant room. The design is based on exploiting a special property of the secondary path model in the wave domain. A feedback control system is implemented, where a single microphone array is placed at the boundary of the control region to measure the residual signals, and a loudspeaker array reproduces secondary sources to generate the anti-noise signals and auxiliary noise for secondary path modelling. Through experimental verification in comparison with existing methods the proposed algorithm demonstrates more efficient adaptation with low-level auxiliary noise.This work is supported by Australian Research Council (ARC) Discovery Projects funding scheme (project no. DP140103412).application/pdfen-AU©2017 IEEE201710.1109/ICASSP.2017.79521292019-12-19