A journal of IEEE and CAA , publishes high-quality papers in English on original theoretical/experimental research and development in all areas of automation
Volume 5 Issue 5
Aug.  2018

IEEE/CAA Journal of Automatica Sinica

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Lichuan Liu, Yang Li and Sen M. Kuo, "Feed-Forward Active Noise Control System Using Microphone Array," IEEE/CAA J. Autom. Sinica, vol. 5, no. 5, pp. 946-952, Sept. 2018. doi: 10.1109/JAS.2018.7511171
Citation: Lichuan Liu, Yang Li and Sen M. Kuo, "Feed-Forward Active Noise Control System Using Microphone Array," IEEE/CAA J. Autom. Sinica, vol. 5, no. 5, pp. 946-952, Sept. 2018. doi: 10.1109/JAS.2018.7511171

Feed-Forward Active Noise Control System Using Microphone Array

doi: 10.1109/JAS.2018.7511171
More Information
  • Feedforward active noise control (ANC) system are widely used to reduce the wide-band noise in different application. In feedforward ANC systems, when the noise source is unknown, the misplacement of the reference microphone may violate the causality constraint. We present a performance analysis of the feedforward ANC system under a noncausal condition. The ANC system performance degrades when the degree of noncausality increases. This research applies the microphone array technique to feedforward ANC systems to solve the unknown noise source problem. The generalized cross-correlation (GCC) and steering response power (SRP) methods based on microphone array are used to estimate the noise source location. Then, the ANC system selects the proper reference microphone for a noise control algorithm. The simulation and experiment results show that the SRP method can estimate the noise source direction with 84% accuracy. The proposed microphone array integrated ANC system can dramatically improve the system performance.


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