Using A-weighting for psychoacoustic active noise control

Hua Bao, Issa Panahi

2009 · 27 citations · 9 references

Concepts

TL;DR

Conventional ANC methods use SPL measurements, which fail to reflect human hearing sensitivity, whereas A‑weighting better captures the frequency‑selective response of the human ear. This study seeks to enhance ANC performance by integrating A‑weighting into the system design from a psychoacoustic perspective. The authors evaluate ANC performance using loudness as a psychoacoustic criterion, incorporating A‑weighting into the control algorithm. Simulations demonstrate that the A‑weighted ANC approach effectively improves noise cancellation performance.

Abstract

Conventional adaptive active noise control (ANC) methods aim to attenuate the acoustic noise over the frequency band of interest indiscriminately using the sound pressure level (SPL) measurement (or the measurement of the residual error variance). However, SPL does not correctly reflect the human perception of attenuated noise due to the frequency selective sensitivity of human hearing system. A-weighting is a commonly used weighting filter for measuring the noise. This weighting filter quantifies frequency response of the human ears and hearing system. In this paper, we aim to improve the performance of adaptive noise cancellation method from the psychoacoustic point of view by incorporating the A-weighting into the ANC system design. Loudness is used as the psychoacoustic criterion for evaluating the ANC system performance. Simulation results illustrate the effectiveness of the proposed method.

References

9