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High speed sound source detection based on ADFSD measurement

机译:基于ADFSD测量的高速声源检测

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In this paper, a detection of semi-unknown high speed moving sound sources technique using only a single microphone in a real environment is proposed. Doppler processing techniques in cooperation with an array of high sensitive and high performance (expensive) microphones are commonly used techniques to detection, identification (classification) and various moving parameters estimation of a known moving sound source as high speed automobiles in a highway and low flying aircrafts. In this paper, it is shown that these techniques are applicable using only one microphone for detecting of a semi-unknown high speed moving sound source except the times that the source moves straightway (straightly toward) or straightaway (straightly away) from the microphone. Therefore, the Acoustic Doppler Frequency Shift Difference (ADFSD) is measured between the consecutive acoustic data frames of the moving sound source which are acquired by means of a single microphone. The simulation results on the truth data which were gathered in an airport, confirm this claim.
机译:在本文中,提出了在真实环境中仅使用单个麦克风检测半未知高速移动声源技术。多普勒处理技术与一系列高灵敏,高性能(昂贵)的麦克风配合使用是检测,识别(分类)和估算各种已知移动声源(如高速公路和低空飞行中的高速汽车)的各种移动参数的常用技术飞行器。在本文中,显示了这些技术仅适用于使用一个麦克风来检测半未知的高速移动声源,但该声源直线(直向)或远离(直向)移动的时间除外。因此,在通过单个麦克风获取的运动声源的连续声学数据帧之间测量声学多普勒频移差(ADFSD)。在机场收集的真实数据的模拟结果证实了这一说法。

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