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Continuous Scan Beamforming using a Rotating Microphone Array for Identification of Highly Varying Amplitude Acoustic Sources in a Soundproof Chamber

机译:使用旋转麦克风阵列进行连续扫描波束成形,以识别隔音室中幅度变化很大的声源

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Continuous scan (CS) beamforming is a novel approach that can improve the dynamic range of a microphone array used for source localization. In the conventional beamforming approach in which spatially fixed sensors are used, the number of sensors employed determines the dynamic range of the array. Whereas, in the CS approach, by employing moving sensors in a prescribed motion, the effective number of sensors (so-called virtual sensors) used for beamforming can be greatly increased and, therefore, it can provide enhanced dynamic ranges close to the theoretical limit. In the CS process, for reconstruction of the time data acquired by moving sensors, stationary microphones are used for phase referencing. At ATA Engineering Inc., (ATA) a rotating, planar configuration array of sixty microphones was designed, built, and tested in a soundproof chamber with spatially distributed acoustic sources inside. Results of two CS-based methods (with and without the use of reference sensors) showed that the array can achieve a much better localization performance, without increasing sensor budgets, than the fixed-sensor-based conventional beamforming. CS beamforming is able to discriminate tested sources that are almost 18 dB apart. With the enhanced dynamic range, CS will be particularly useful in localizing secondary noise sources not only in an idealized, soundproof acoustic environment but also in a complex, factory-noise environment with high-level background.
机译:连续扫描(CS)波束成形是一种新颖的方法,可以改善用于源定位的麦克风阵列的动态范围。在使用空间固定传感器的常规波束成形方法中,采用的传感器数量决定了阵列的动态范围。而在CS方法中,通过以预定运动使用移动传感器,可以大大增加用于波束成形的传感器(所谓的虚拟传感器)的有效数量,因此可以提供接近理论极限的增强动态范围。 。在CS过程中,为了重建由移动传感器获取的时间数据,固定麦克风用于相位参考。在ATA Engineering Inc.(ATA),设计,制造和测试了一个旋转的平面配置阵列,其中包含60个麦克风,该阵列在内部装有空间分布声源的隔音室内进行了测试。两种基于CS的方法(使用和不使用参考传感器)的结果表明,与基于固定传感器的常规波束成形相比,该阵列可以在不增加传感器预算的情况下实现更好的定位性能。 CS波束成形能够区分相距近18 dB的测试源。凭借增强的动态范围,CS不仅在理想化的隔音声学环境中,而且在具有高背景本底的复杂工厂噪声环境中,对次级噪声源的定位特别有用。

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