Effect of Transducer Positioning in Active Noise Control
This work addresses a limitation in ANC research for acoustic engineers by introducing a novel approach to optimize noise control, though it is incremental as it builds on existing ANC methods.
The paper tackles the problem of optimizing transducer positioning in active noise control by using room acoustic models, demonstrating up to 7.34 dB improvement in noise cancellation through numerical simulations.
Research in traditional Active Noise Control(ANC) often abstracts acoustic channels with band-limited filter coefficients. This is a limitation in exploring structural and positional aspects of ANC. As a solution to this, we propose the use of room acoustic models in ANC research. As a use case, we demonstrate anti-noise source position optimization using room acoustics models in achieving better noise control. Using numerical simulations, we show that level of cancellation can be improved up to 7.34 dB. All the codes and results are available in the Github repository https://github.com/cksajil/ancram in the spirit of reproducible research.