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通过稀疏波束形成层析成像实现的大区域声学噪声源驱动映射

Drive-by large-region acoustic noise-source mapping via sparse beamforming tomography.

作者信息

Tuna Cagdas, Zhao Shengkui, Nguyen Thi Ngoc Tho, Jones Douglas L

机构信息

Advanced Digital Sciences Center (ADSC), Illinois at Singapore, 138632 Singapore.

出版信息

J Acoust Soc Am. 2016 Oct;140(4):2530. doi: 10.1121/1.4964506.

Abstract

Environmental noise is a risk factor for human physical and mental health, demanding an efficient large-scale noise-monitoring scheme. The current technology, however, involves extensive sound pressure level (SPL) measurements at a dense grid of locations, making it impractical on a city-wide scale. This paper presents an alternative approach using a microphone array mounted on a moving vehicle to generate two-dimensional acoustic tomographic maps that yield the locations and SPLs of the noise-sources sparsely distributed in the neighborhood traveled by the vehicle. The far-field frequency-domain delay-and-sum beamforming output power values computed at multiple locations as the vehicle drives by are used as tomographic measurements. The proposed method is tested with acoustic data collected by driving an electric vehicle with a rooftop-mounted microphone array along a straight road next to a large open field, on which various pre-recorded noise-sources were produced by a loudspeaker at different locations. The accuracy of the tomographic imaging results demonstrates the promise of this approach for rapid, low-cost environmental noise-monitoring.

摘要

环境噪声是影响人类身心健康的一个风险因素,因此需要一个高效的大规模噪声监测方案。然而,目前的技术需要在密集的位置网格上进行广泛的声压级(SPL)测量,这在城市范围内是不切实际的。本文提出了一种替代方法,使用安装在移动车辆上的麦克风阵列来生成二维声学断层图像,这些图像能给出稀疏分布在车辆行驶区域内的噪声源的位置和声压级。当车辆行驶时,在多个位置计算得到的远场频域延迟求和波束形成输出功率值被用作断层测量值。通过驾驶一辆在车顶安装了麦克风阵列的电动汽车沿着一大片开阔场地旁的直路行驶,并在不同位置用扬声器产生各种预先录制的噪声源,利用采集到的声学数据对所提出的方法进行了测试。断层成像结果的准确性证明了这种方法在快速、低成本环境噪声监测方面的前景。

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