Small UAV Noise Analysis
Small UAV Noise Analysis
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小型无人机噪声分析
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
Dr. Alexander Stimpson
中科院分区：
文献类型：
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作者：
Raya Islam;Dr. Alexander Stimpson
在众多新的非武装飞行器（UAV）应用中，鉴于非侵入性跟踪动物的能力，对野生动物的空中监测是最具破坏性的应用之一。然而，据观察，大象等物种在无人机周围表现出不适的迹象（即使看不见），从而降低了无人机的有效性。这些观察结果表明，大象对无人机的噪音感到惊慌，但详细说明这种噪音的数据很少。通过将无人机的声音轮廓与已知的烦恼蜜蜂的声音轮廓进行比较，以下研究开发了一种方法来证明哪些无人机轮廓比其他轮廓更适合大象保护。所提出的方法详细介绍了如何捕获无人机的声音并将其转化为比较测量结果。将不同无人机轮廓的归一化频谱图与蜜蜂高频范围内的蜜蜂频谱图进行比较，得出每个轮廓的相对分数，假设为：分数越高，无人机声音与蜜蜂越不相似，因此该无人机平台用于大象保护的相对有效性较高，在本例中为无人机 4（DJI Phantom）。通过对无人机声音轮廓进行数字表征，所提出的数据分析技术可以促进无人机应用的增长。
Amongst the myriad of new Unarmed Aerial Vehicle (UAV) applications, aerial monitoring of wildlife is one of the most disruptive given the ability of noninvasively track animals. However, species such as elephants have been observed to exhibit signs of discomfort around UAVs (even when unseen) thus decreasing the effectiveness of UAVs. These observations suggest that the elephants are alarmed by the noise of the UAVs, however little data exists detailing that noise. By comparing the sound profiles of UAVs to the sound profile of a known annoyance, honeybees, the following research develops a methodology to justify what UAV profiles are better than others for elephant conservation. The proposed methodology details how to capture the sound of UAVs and transform it into comparative measurements. Normalized spectrograms for different UAV profiles were compared to that of honeybees at the bees high frequency range resulting in a relative score per profile under the hypothesis: the higher the score, the less similar the UAV sound is to bees, hence the higher relative effectiveness of that UAV platform for elephant conservation, and in this case UAV 4 (DJI Phantom). By numerically characterizing the sound profiles of UAVs, the proposed data analysis techniques allow for growth of UAV applications.