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An Acoustic Modelling Based Remote Error Sensing Approach for Quiet Zone Generation in a Noisy Environment

机译:噪声环境下基于声学建模的静噪区远程误差传感方法

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Remote error sensing is required in active noise control systems when they are used to create a quiet zone in a noisy environment with the constraint that the error microphones cannot be inside the zone. The challenge in remote error sensing is to estimate the sound pressure in the target zone with a small number of physical microphones outside it. The spatial harmonic decomposition method uses wave domain sound field parameterisation to reduce the required number of the error microphones but can only provide accurate estimation below a certain frequency. This paper presents an improved approach to increase the effective frequency range based on the acoustic modelling. The simulation results demonstrate the proposed method can provide more than 20 dB noise reduction up to 1650 Hz for a quiet zone with a radius of 0.1 m by using only three microphones under the studied situations.
机译:当有源噪声控制系统用于在嘈杂的环境中创建安静区域时,需要进行远程错误感测,并具有误差麦克风不能位于区域内的约束。远程错误感测的挑战在于使用目标外部的少量物理麦克风来估计目标区域中的声压。空间谐波分解方法使用波域声场参数化来减少所需的误差麦克风数量,但只能在特定频率以下提供准确的估计。本文提出了一种基于声学模型来增加有效频率范围的改进方法。仿真结果表明,在所研究的情况下,仅使用三个麦克风,该方法可以为半径为0.1 m的安静区域提供高达1650 Hz的20 dB以上的降噪效果。

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