On FxLMS Scheme for Active Noise Control at Remote Location

IEEE Access

Muhammad Waqas Munir¹  Waleed H. Abdulla¹ 

[1] Department of Electrical, Computer, and Software Engineering, The University of Auckland, Auckland, New Zealand;

关键词: Acoustics;    acoustic signal processing;    active noise reduction;    adaptive algorithm;    adaptive filters;    least mean square method;   

DOI  :  10.1109/ACCESS.2020.3040718

来源: DOAJ

【 摘 要 】

The conventional adaptive noise control algorithms create a zone of quiet at the location of an error microphone. Several virtual active noise control (ANC) algorithms have been suggested in the literature to introduce a more flexible positioning of the zone of quiet. The main objective of the proposed ANC system in our research is to minimize the noise disturbance on human hearing by considering the auditory system characteristics. We have introduced the human perception of acoustic disturbances in our ANC modeling. This paper presents a novel approach based on a psychoacoustically enabled remote ANC algorithm to minimize the acoustic noise at a zone away from the error microphone location. This approach depends on modeling the transfer function between the error microphone and the remote zone of quiet. The developed model has been implemented using an FPGA real-time module, and the performance is validated at four different remote locations. Noise-weighting filters are incorporated to observe the psychoacoustic characteristics of the proposed model. In the experimental setup, the acoustic noise at the physical and remote locations are monitored to quantify the noise reduction characteristics of the proposed algorithm. The simulation and experimental results show a noise reduction of 15-18 dBs has been achieved, which is an average improvement of 5-8 dBs over the standard ANC model.

【 授权许可】

Unknown