Active Road Noise Control: Implementation and Commissioning of an Active Road Noise Control (ARNC) System based on A2B-Sensordata

Road noise significantly affects in-cabin comfort, particularly in modern lightweight vehicles with improved powertrain insulation, where road-induced vibrations become the dominant noise source. This study presents the implementation and commissioning of an Active Road Noise Control (ARNC) system utilizing A2B (Automotive Audio Bus) sensor data for real-time signal processing. The ARNC approach employs adaptive algorithms to generate anti-noise signals that destructively interfere with the unwanted road noise within the vehicle cabin. A Filtered-x Least Mean Square (FxLMS) control algorithm is implemented to adaptively minimize the residual noise at the error microphones based on reference signals from acceleration sensors mounted on the vehicle suspension system. The system architecture integrates microphones, speakers, and a digital signal processor interconnected via the A2B network, enabling synchronized, low-latency communication between components. Experimental validation was performed on a test vehicle under various road conditions. A combination of simulation and measurements shows a potential reduction of up to 13 dB in the dominant frequency range of 20–250 Hz, demonstrating the effectiveness of the proposed ARNC system in mitigating road noise and improving acoustic comfort.

DOI 10.71568/daga2026.363