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System method for acoustic source localization with aerial drones

机译:空中无人机声源定位的系统方法

摘要

Detecting sound sources in a physical space-of-interest is challenging due to strong ego-noise from micro aerial vehicles (MAVs)' propeller units, which is both wideband and non-stationary. The present subject matter discloses a system and method for acoustic source localization with aerial drones. In an embodiment, a wideband acoustic signal is received from an aerial drone. Further, the wideband acoustic signal is splitted into multiple narrow sub-bands having cells. Moreover, from a measurement position corresponding to each of the multiple narrow sub-bands, power in each of the cells is measured by forming a beam to each of the cells. In addition, intra-band and inter measurement fusion of the measured power at each of the cells is performed. Also, geo-location of an acoustic source corresponding to the wideband acoustic signal is identified upon performing intra-band and inter measurement fusion of the measured power.
机译:由于来自微型飞行器(MAV)的螺旋桨单元(既宽带又是非平稳的)的强烈的自我噪声,在物理感兴趣的空间中检测声源具有挑战性。本主题公开了一种利用空中无人机进行声源定位的系统和方法。在一个实施例中,从空中无人机接收宽带声信号。此外,宽带声信号被分成具有小区的多个窄子带。此外,从对应于多个窄子带中的每一个的测量位置,通过向每个单元形成光束来测量每个单元中的功率。另外,在每个小区处执行测量功率的带内和测量间融合。而且,在执行所测量的功率的带内和测量间融合时,识别与宽带声信号相对应的声源的地理位置。

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