Effect of White Noise for Online Secondary Path Modeling and Noise Reduction in Multichannel ANC System

In practical cases for active noise control (ANC), the secondary path may be time varying .For these cases, the secondary path shouldbe estimated online. Several approaches have been introduced for online secondary path modeling (OSPM) in single- channel feed forward ANCsystems .In these systems additive random noise as a training signal is injected to achieve secondary path modeling during online operation .Thispaper investigates the issue of reducing noise and secondary path modeling in multichannel active noise control by not continually injection ofwhite noise during system operation. The existing methods in multichannel have concentrated on online secondary path modeling. This paperuses the advantages of white noise with larger variance to model the secondary path, but the injection is stopped at the optimum point to increasethe performance of the system. It is shown that the proposed method has better performance in reducing residual noise and also it has betterconvergence rate in online secondary path modeling in multichannel ANC system