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Acoustic Localization and Tracking of the Multiple Drones

机译:多架无人机的声学定位和追踪

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Due to the social problems in the intrusion of privacy and the collision hazard, monitoring of the drones are needed for the regulations. To enhance the identification of multiple drones flying at a specific zone simultaneously, a new localization method other than the optical or electromagnetic methods is needed. In this work, a method to use the acoustic cues of the drone is presented, and the three-dimensional acoustic intensimetry (3DAI) is employed for the localization. The 3DAI implements the compensation algorithm for the spectral bias error of the probe configured in a tetrahedron shape. The blade passing frequency and its harmonics radiated from the quadcopter drones are adopted as the acoustical cues for the detection. The test for single drone is done within an anechoic chamber to estimate the localization error in the real-time. For the multiple drones, the test is carried out for the localization by using recorded sounds of three drones having different rotor sizes. The results show that the mean azimuth and elevation angle error is less than 5° for localization of multiple drones. The localization result is fine when BPFs are distinguishable, but, for the case with spectral overlap, it bears a large error.
机译:由于侵犯隐私和碰撞危险方面的社会问题,法规需要对无人机进行监控。为了增强对同时在特定区域飞行的多架无人机的识别,需要一种新的定位方法,而不是光学或电磁方法。在这项工作中,提出了一种使用无人机的声音提示的方法,并使用三维声强法(3DAI)进行了定位。 3DAI对配置为四面体形状的探头的光谱偏差误差实施补偿算法。从四旋翼无人机发射的叶片通过频率及其谐波被用作检测的声音提示。对单个无人机的测试是在消声室内进行的,以实时估算定位误差。对于多架无人机,通过使用具有不同转子尺寸的三架无人机的录制声音来进行定位测试。结果表明,对于多架无人机的定位,平均方位角和仰角误差均小于5°。当可以区分BPF时,定位结果很好,但是对于光谱重叠的情况,它会带来较大的误差。

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