Effect of Transducer Positioning in Active Noise Control

TL;DR

This paper explores how transducer positioning affects active noise control effectiveness by integrating room acoustic models, demonstrating that optimized placement can significantly improve noise cancellation levels through numerical simulations.

Contribution

It introduces the use of room acoustic models in ANC research to analyze positional effects, providing a novel approach beyond traditional filter coefficient methods.

Findings

Noise cancellation improved up to 7.34 dB with optimized transducer placement

Room acoustic models effectively simulate positional effects in ANC

Code and results are publicly available for reproducibility

Abstract

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.