Robust performance of virtual sensing methods for active noise control

This paper investigates the effect of changes in environment on performance two widely-used virtual sensing methods for active noise control (ANC): remote-microphone method and additional-filter method. Robust adaptive feedforward algorithms incorporating such techniques is essential to achieving attenuation at designated locations practice, when subject uncertainties environment. Off-line simulations using data measured with a headrest ANC system running car are initially conducted, evaluate under practical conditions. The differences between further studied by an analytical model numerical system. It shown that general sensitive properties reference signals used control, whereas plant responses related monitoring microphones. study, therefore, can be guide choice different applications.