Faculty of Aerospace Engineering, Technion - Israel Institute of Technology, Haifa, 32000, Israel.
Department of Bio-Medical Engineering, Faculty of Engineering, Tel-Aviv University, Tel-Aviv 69978, Israel.
J Acoust Soc Am. 2022 Jun;151(6):3719. doi: 10.1121/10.0011546.
Unmanned aerial vehicles are rapidly advancing and becoming ubiquitous in an unlimited number of applications, from parcel delivery to people transportation. As unmanned aerial vehicle (UAV) markets expand, the increased acoustic nuisance on population becomes a more acute problem. Previous aircraft noise assessments have highlighted the necessity of a psychoacoustic metric for quantification of human audio perception. This study presents a framework for estimating propeller-based UAV auditory detection probability on the ground for a listener in a real-life scenario. The detection probability is derived by using its free-field measured acoustic background and estimating the UAV threshold according to a physiological model of the auditory pathway. The method is presented via results of an exemplar measurement in an anechoic environment with a single two- and five-bladed propeller. It was found that the auditory detection probability is primarily affected by the background noise level, whereas the number of blades is a less significant parameter. The significance of the proposed method lies in providing a quantitative evaluation of auditory detection probability of the UAV on the ground in the presence of a given soundscape. The results of this work are of practical significance since the method can aid anyone who plans a hovering flight mode.
无人机在无数应用中迅速发展并变得无处不在，从包裹投递到人员运输。随着无人机（UAV）市场的扩大，人群的噪音污染问题变得更加尖锐。先前的飞机噪声评估强调了需要一种心理声学指标来量化人类对声音的感知。本研究提出了一种用于估计地面上听众对基于螺旋桨的 UAV 听觉检测概率的框架，用于真实场景。检测概率是通过使用其自由场测量的背景噪声并根据听觉通路的生理模型来估计 UAV 阈值来得出的。该方法通过在消声环境中使用单个两叶和五叶螺旋桨的示例测量结果呈现。结果发现，听觉检测概率主要受背景噪声水平的影响，而叶片数量是一个不太重要的参数。该方法的意义在于提供了在给定的声音环境中对地面上 UAV 听觉检测概率的定量评估。这项工作的结果具有实际意义，因为该方法可以帮助任何计划悬停飞行模式的人。
