Shooter Localization based on DoA Estimation of Gunshot Signals and Digital Map Information

Calderón, Darwin Manolo Paredes; Apolinario, J.A.

doi:10.1109/tla.2015.7055562

Cited by 13 publications

(8 citation statements)

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“…A third approach presented in Reference [24] combines muzzle blast DoA estimation from an elevated array with a digital map containing topographic information to estimate the shooter position. The main concern of this method is to obtain the appropriate digital model of the terrain.…”

Section: Doa Estimation and Shooter Localizationmentioning

confidence: 99%

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Gunshot Airborne Surveillance with Rotary Wing UAV-Embedded Microphone Array

Serrenho

Apolinario

Ramos

et al. 2019

Sensors

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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.

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Section: Doa Estimation and Shooter Localizationmentioning

confidence: 99%

“…Focusing on gunshot airborne surveillance, the deployment of acoustic sensors in elevated platforms could enable advantages for shooter-position estimation, according to Reference [24]. The use of an aerial drone as a mobile elevated platform was investigated in Reference [25], using only simulations.…”

Section: Introductionmentioning

confidence: 99%

Gunshot Airborne Surveillance with Rotary Wing UAV-Embedded Microphone Array

Serrenho

Apolinario

Ramos

et al. 2019

Sensors

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“…The devices currently available are stand alone systems. For instance, the vehicle-mountable Boomerang system and stationary structures composed of a microphone array [5], [6].…”

Section: Introductionmentioning

confidence: 99%

“…The shock wave is an acoustic wave created by supersonic bullets that provides information about bullet trajectory and allows to determine the shooter's location, if MB is also available [7]. Another approach to estimate shooter localization when only MB is available is to use an elevated platform to capture gunshot acoustic wave and use a digital map to estimate the intersection point of the estimated angles (azimuth and zenith) and the ground surface [6].…”

Section: Introductionmentioning

confidence: 99%

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Investigating the potential of UAV for gunshot DoA estimation and shooter localization

Fernandes¹,

Borzino²,

Ramos³

et al. 2016

Anais De XXXIV Simpósio Brasileiro De Telecomunicações

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This paper presents an approach to obtain stationary shooter localization in a Cartesian plane using a moving array of microphones. A single array is embedded in an unmanned aerial vehicle (UAV), a quadcopter, to explore benefits provided by its intrinsic mobility. We propose a model which is based on geometrical acoustics and that assumes the gunshot signals as being buried in strong noise generated by propellers. Generalized cross correlation algorithms are used to estimate the Direction of Arrival (DoA) of the impulsive gunshot signals and, finally, bearings-only target motion analysis techniques are applied to estimate potential shooters localization from the noisy DoAs.

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