Summary
International Workshop on Smart Info-Media Systems in Asia
2023
Session Number:RS2
Session:
Number:RS2-3
Performance Improvement of Remote Microphone-Based Virtual Sensing Method for Feedforward Active Noise Control System with Coherence-Adjusting Filter
Tianyu Xie, Shota Toyooka, Kenta Iwai, Yoshinobu Kajikawa,
pp.44-49
Publication Date:2023/8/31
Online ISSN:2188-5079
Summary:
In this paper, we propose a new Remote Microphone-based Virtual Sensing (RMVS) method for feedforward active noise control (ANC) system with two coherence adjusting filters (CAF). The feedforward ANC system with RMVS has a poor noise reduction performance under low coherence conditions between signals obtained at reference microphone, error microphone and virtual microphone. The CAF can improve the coherences between the signals obtained at three microphones and prevents the degradation of noise reduction. Unlike the basic feedforward ANC system, the feedforward ANC system with RMVS has three microphone; reference microphone, error microphone and virtual microphone. The low coherence in the combinations of the three microphones yields the degradation of noise reduction performance of the feedforward ANC system with RMVS. Hence, the proposed system utilizes two CAFs in order to improve the performance of the feedforward ANC system with RMVS. One of them adjusts the coherence between the error signal and the estimated desired signal, and another CAF adjusts the coherence between the reference signal and the estimated desired signal. Simulations show that the proposed method improves noise reduction by 10 dB in the frequency band around 1200 Hz where the conventional method degrades the noise reduction, and improves the overall noise reduction by approximately 4 dB.