Research on Active Control of Vehicle Wind Noise Based on Reference Signal Reconstruction

In Active Noise Control (ANC) systems for vehicle wind noise, the selection of reference signals is a critical factor determining noise reduction performance. Addressing the challenge that conventional reference signals fail to achieve effective attenuation across the entire target frequency band due to the strong stochasticity and time-varying characteristics of wind noise, this paper proposes a reference signal reconstruction method to enhance broadband noise reduction. The proposed algorithm first evaluates the attenuation performance of individual candidate reference signals to identify the optimal signal for specific frequency ranges. Subsequently, the target frequency band is decomposed into multiple independent sub-bands. Each sub-band is controlled using its respective optimal reference signal, thereby maximizing the overall noise reduction across the full spectrum. The effectiveness of the method was validated through dual-channel ANC simulations in MATLAB and experimental tests conducted on a wind noise active control rig within a vehicle semi-anechoic chamber. Results demonstrate that the reconstructed reference signal significantly outperforms original signals, achieving noise reductions of approximately 3.57 dB(A) and 3.28 dB(A) at different measurement positions. This study offers a novel pathway and theoretical insight for the active control of automotive wind noise.