Next Article in Journal
Wavelet Packet Singular Entropy-Based Method for Damage Identification in Curved Continuous Girder Bridges under Seismic Excitations
Next Article in Special Issue
Beehive-Inspired Information Gathering with a Swarm of Autonomous Drones
Previous Article in Journal
Toward Dynamically Adaptive Simulation: Multimodal Classification of User Expertise Using Wearable Devices
Previous Article in Special Issue
Convex Decomposition for a Coverage Path Planning for Autonomous Vehicles: Interior Extension of Edges
Open AccessArticle

Gunshot Airborne Surveillance with Rotary Wing UAV-Embedded Microphone Array

1
Department of Electrical Engineering, Military Institute of Engineering (IME), Rio de Janeiro 22290-270, Brazil
2
Department of Science and Industry Systems, University of South-Eastern Norway (USN), 3616 Kongsberg, Norway
3
Program of Defense Engineering, Military Institute of Engineering (IME), Rio de Janeiro 22290-270, Brazil
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(19), 4271; https://doi.org/10.3390/s19194271
Received: 23 August 2019 / Revised: 19 September 2019 / Accepted: 24 September 2019 / Published: 1 October 2019
Unmanned aerial vehicles (UAV) are growing in popularity, and recent technological advances are fostering the development of new applications for these devices. This paper discusses the use of aerial drones as a platform for deploying a gunshot surveillance system based on an array of microphones. Notwithstanding the difficulties associated with the inherent additive noise from the rotating propellers, this application brings an important advantage: the possibility of estimating the shooter position solely based on the muzzle blast sound, with the support of a digital map of the terrain. This work focuses on direction-of-arrival (DoA) estimation methods applied to audio signals obtained from a microphone array aboard a flying drone. We investigate preprocessing and different DoA estimation techniques in order to obtain the setup that performs better for the application at hand. We use a combination of simulated and actual gunshot signals recorded using a microphone array mounted on a UAV. One of the key insights resulting from the field recordings is the importance of drone positioning, whereby all gunshots recorded in a region outside a cone open from the gun muzzle presented a hit rate close to 96%. Based on experimental results, we claim that reliable bearing estimates can be achieved using a microphone array mounted on a drone. View Full-Text
Keywords: unmanned aerial vehicles (UAV); rotary wing drones; direction of arrival (DoA) estimation; microphone array; gunshot audio surveillance; shooter localization unmanned aerial vehicles (UAV); rotary wing drones; direction of arrival (DoA) estimation; microphone array; gunshot audio surveillance; shooter localization
Show Figures

Figure 1

MDPI and ACS Style

Serrenho, F.G.; Apolinário, J.A., Jr.; Ramos, A.L.L.; Fernandes, R.P. Gunshot Airborne Surveillance with Rotary Wing UAV-Embedded Microphone Array. Sensors 2019, 19, 4271.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop