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Noise source identification with a spherical microphone array: application to a realistic environment

机译:球形麦克风阵列的噪声源识别:在现实环境中的应用

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Spherical microphone array is a recent tool dedicated for noise source identification in variousrnenvironments: room, car or aircraft cabin, train interior, but also in free-field conditions. Thisrntype of microphone array supported by the spherical beamforming processing aims to localizernacoustic sources in all directions around the sphere. In particular it contributes to determine thernmost important sources for a given position of the sensor in the environment. When thernenvironment is an enclosed space, for example a car or a helicopter cabin, incident waves andrnreflections arrive at the sensor position from all directions, making necessary a 3D analysis of thernsound field. In this paper, we investigate the capabilities of such array in a realistic test case: thernsituation considered here is the identification of noise sources inside a car cabin. In the setup, thernsound field inside the cabin is generated by the engine, and different regimes are consideredrn(idle, run-up). It is shown the good performances in terms of resolution and dynamic range ofrnthis type of sensor for a relatively broad frequency range.
机译:球形麦克风阵列是专门用于各种环境中噪声源识别的最新工具:房间,汽车或飞机机舱,火车内部以及在自由场条件下。球形波束成形处理支持的这种麦克风阵列的目的是在整个球体的所有方向上定位声源。特别地,它有助于确定传感器在环境中给定位置的最重要的来源。当环境是封闭的空间(例如汽车或直升机机舱)时,入射波和反射会从各个方向到达传感器位置,因此有必要对声场进行3D分析。在本文中,我们在实际的测试案例中研究了这种阵列的功能:此处考虑的情况是识别车厢内的噪声源。在设置中,机舱内部的声场由发动机产生,并考虑了不同的状态(怠速,加速)。在相对较宽的频率范围内,这种类型的传感器在分辨率和动态范围方面表现出良好的性能。

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