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Beacon-Aided Adaptive Localization of Noise Sources Aboard a Pass-By Railcar Using a Trackside Microphone Array

机译:使用路旁麦克风阵列在通过式有轨电车上进行信标辅助噪声源的自适应定位

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摘要

A new adaptive “beamforming” signal-processing algorithm is developed to locate the loudest noise sources aboard a railcar that passes by a trackside immobile microphone array. This proposed microphone-array beamformer tracks the railcar''s spatial movement with the aid of two inaudible acoustic beacons placed aboard the railcar. The proposed scheme then localizes the noise sources with reference to the railcar''s coordinates. No auxiliary infrastructure (e.g., no radar or video camera) is needed besides the onboard beacons. Monte Carlo simulations and anechoic chamber experiments verify the efficacy of the proposed scheme.
机译:开发了一种新的自适应“波束成形”信号处理算法,以在经过轨道旁固定麦克风阵列的轨道车上定位最大的噪声源。提出的麦克风阵列波束形成器借助放置在轨道车上的两个听不见的声音信标来跟踪轨道车的空间运动。提出的方案然后参考轨道车的坐标定位噪声源。除了机载信标之外,不需要辅助基础设施(例如,无需雷达或摄像机)。蒙特卡洛模拟和消声室实验证明了该方案的有效性。

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