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ThinkMind // SIGNAL 2018, The Third International Conference on Advances in Signal, Image and Video Processing // View article signal_2018_3_50_68005


Detecting UAVs Using Acoustic Camera

Authors:
Jurica Ivošević
Tomislav Radišić
Mario Muštra
Ivan Bublić
Ivan Tudor
Darije Varžić

Keywords: UAV; acoustic camera; surveillance; detection

Abstract:
Over the past decade, a huge increase in production and operation of Unmanned Aerial Vehicles (UAVs) has been present on a global scale. To maintain the required level of safety and to accommodate the expanding traffic, the governments worldwide have implemented regulations to operations of UAVs. Nonetheless, in recent years there have been numerous safety and security incidents with UAVs, which prompted an increase in research of surveillance and interdiction methods tailored for UAVs. Detection of UAVs using acoustic camera, which is the primary topic of this paper, is possible due to UAV’s propeller noise which is predominant noise source, at least in multicopter UAVs. We performed a detectability test of a commonly used custom made UAV type – multirotor with 6 motors. We concluded that small multirotor UAVs can be detected with acoustic camera, a human interpreter is necessary for detection due to the background noise, maximum detection range can be greater than with visual detection, and UAV detectability depends on UAV noise spectrum, its ratio to background noise, the dynamic range of acoustic camera, and its frequency resolution.

Pages: 56 to 61

Copyright: Copyright (c) IARIA, 2018

Publication date: May 20, 2018

Published in: conference

ISSN: 2519-8432

ISBN: 978-1-61208-638-5

Location: Nice, France

Dates: from May 20, 2018 to May 24, 2018

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