Active noise control with head tracking system

In active noise control, the control region size(zone of control) decreases as the frequency increases, so that even a small moving of the passenger's head causes the ear position to go out of the control region. In order to increase the size of the control region, many speakers and microphones are generally required, but it is difficult to apply it in a vehicle cabin due to space and cost constraints. In this study, we propose moving zone of quite actvie noise control technique. An 2D images based head tracking system captured by a camera to generate the passenger's head coordinates in real time with deep learning algorithm. In the controller, the control position is moved to the ear position using a multi-point virtual microphone algorithm according to the generated ear position. After that, the multi-point adaptive filter training system applies the optimal control filter to the current position and maintains the control performance. Through this study, it is possible to secure the optimal control performance even when the head position changes.