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Design model of microphone arrays for multirotor helicopters

机译:多旋翼直升机麦克风阵列设计模型

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Unmanned multirotor helicopters have been expected for various critical tasks such as rescue missions, and it is important to sense the environment to achieve those tasks. In order to realize such sensor systems, this paper considers acoustic information recognition from a hovering helicopter which a microphone array system. As the noise of rotors distorts the acoustic information, noise reduction is necessary. Since the rotor noise varies even at the hovering flight, an acoustic model of the rotor noise is derived taking the dynamics of the helicopter into account, and the model is utilized to evaluate the performance of the microphone array. The proposed approach was verified by evaluating the optimality of a real device that was empirically tuned in authors previous work, and the computed configuration of the microphone array and the developed one coincide well, which ensures the validity of the approach. As the validation through a practical application, the signal was processed by Delay-and-Sum Beam Former to localize the sound source. The system was able to find peaks of the power that corresponded to the sound source.
机译:人们期望无人驾驶多旋翼直升机能够完成诸如救援任务之类的各种关键任务,为完成这些任务而感知环境非常重要。为了实现这样的传感器系统,本文考虑了从麦克风阵列系统的悬停直升机的声学信息识别。由于转子的噪声会使声学信息失真,因此必须降低噪声。由于即使在悬停飞行时旋翼噪声也会发生变化,因此,在考虑直升机动力的情况下,导出了旋翼噪声的声学模型,并利用该模型评估了麦克风阵列的性能。通过评估在作者以前的工作中凭经验调整的真实设备的最优性,验证了该方法的有效性,并且麦克风阵列的计算配置与开发的麦克风的配置吻合得很好,从而确保了该方法的有效性。作为通过实际应用的验证,信号被延迟和求和波束成形器处理以定位声源。该系统能够找到与声源相对应的功率峰值。

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