A Computationally Efficient Multichannel Active Road Noise Control System

Abstract

A multichannel active noise control (ANC) system has been developed for a vehicle application, which employs loudspeakers to reduce the lowfrequency road noise. Six accelerometers were attached to the vehicle structure to provide the reference signal for the feedforward control strategy, and two loudspeakers and two microphones were applied to attenuate acoustic noise near the headrest of the driver's seat. To avoid large computational burden caused by the conventional timedomain filteredx least mean square (FXLMS) algorithm, a timefrequency domain FXLMS (TFFXLMS) algorithm is proposed. The proposed algorithm calculates the gradient estimate and filtered reference signal in the frequency domain to reduce the computational requirement, while also updates the control signals in the time domain to avoid delay. A comprehensive computational complexity analysis is conducted to demonstrate that the proposed algorithm requires significantly lower computational cost as compared to the conventional FXLMS algorithm.