Spatial Active Noise Control with the Remote Microphone Technique: an Approach with a Moving Higher Order Microphone

Sun, Huiyuan; Zhang, Jihui; Abhayapala, Thushara D.; Samarasinghe, Prasanga N.

doi:10.1109/icassp43922.2022.9746082

Cited by 5 publications

(2 citation statements)

References 18 publications

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“…Virtual sensing (VS) algorithms utilise physical remote monitoring sensors to estimate the acoustic pressure at a virtual position, and thus it is often employed in active noise control (ANC) applications with design constraints in error microphone placements where control is desired, such as at the human ears. [1][2][3][4]. One of the prominent VS methods is the remote microphone technique (RMT) [5], which directly estimates the acoustic pressure This research is supported by the Singapore Ministry of National Development and the National Research Foundation, Prime Minister's Office under the Cities of Tomorrow Research Programme (Award No.…”

Section: Introductionmentioning

confidence: 99%

Real-Time Modelling of Observation Filter in the Remote Microphone Technique for an Active Noise Control Application

Lai

Lam

Shi

et al. 2023

ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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The remote microphone technique (RMT) is often used in active noise control (ANC) applications to overcome design constraints in microphone placements by estimating the acoustic pressure at inconvenient locations using a pre-calibrated observation filter (OF), albeit limited to stationary primary acoustic fields. While the OF estimation in varying primary fields can be significantly improved through the recently proposed source decomposition technique, it requires knowledge of the relative source strengths between incoherent primary noise sources. This paper proposes a method for combining the RMT with a new source-localization technique to estimate the source ratio parameter. Unlike traditional source-localization techniques, the proposed method is capable of being implemented in a real-time RMT application. Simulations with measured responses from an open-aperture ANC application showed a good estimation of the source ratio parameter, which allows the observation filter to be modelled in real-time.

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Section: Introductionmentioning

confidence: 99%

Real-Time Modelling of Observation Filter in the Remote Microphone Technique for an Active Noise Control Application

Lai

Lam

Shi

et al. 2023

ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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“…Moving microphones have been used primarily for the measurement of room impulse responses along the trajectory of the microphone, e.g., in [1,2,3] and for spatial sound field sensing , e.g., in [4]. A solution to the reciprocal problem with a moving loudspeaker is presented in [5].…”

Section: Introductionmentioning

confidence: 99%

Comparison of Position Estimation Methods for the Rotating Equatorial Microphone

Lawrence

Ahrens

Peters

2022

2022 International Workshop on Acoustic Signal Enhancement (IWAENC)

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We present a prototype of a microphone that moves rapidly along the equator of a rigid spherical scatterer. Our prototype allows for up to 100 rotations per second. It will enable processing methods like beamforming or sound field decomposition that are conventionally performed using microphone arrays. Solutions that assume one or more moving microphones have already been proposed in the literature but have not been verified in practise. Most of these methods require precise knowledge of the instantaneous microphone position, for which no convenient practical solution exists. Recent advancements in microphone array processing enable employing simple microphone trajectories, and recent advancements in 3D printing, microcontrollers, and highspeed electric motors allow for the required control of the movement. This paper presents the design of our prototype and evaluates its performance. Of particular interest is the accuracy of the estimation of the microphone's instantaneous position. This paper demonstrates that monitoring the passing time instants of a photodiode that is integrated into the rotating sphere provides the highest precision and robustness.

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Unsupervised Learning Based End-to-End Delayless Generative Fixed-Filter Active Noise Control

Luo,

Shi,

Shen

et al. 2024

ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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Spatial Active Noise Control with the Remote Microphone Technique: an Approach with a Moving Higher Order Microphone

Cited by 5 publications

References 18 publications

Real-Time Modelling of Observation Filter in the Remote Microphone Technique for an Active Noise Control Application

Real-Time Modelling of Observation Filter in the Remote Microphone Technique for an Active Noise Control Application

Comparison of Position Estimation Methods for the Rotating Equatorial Microphone

Unsupervised Learning Based End-to-End Delayless Generative Fixed-Filter Active Noise Control

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