A Study on the Methods and Technologies Used for Detection, Localization, and Tracking of LSS UASs

Mototolea, Dan

doi:10.32754/jmt.2018.2.02

Cited by 4 publications

(1 citation statement)

References 16 publications

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“…The first step to deal with this issue is to know the exact location of the UAV. Several methods exist to localize an UAV, which can be efficient depending on the type of UAV and the conditions of flight [ 2 , 3 ]. Many studies have shown that localization methods using the noise of UAVs can be very effective [ 4 , 5 , 6 ].…”

Section: Introductionmentioning

confidence: 99%

Acoustic Estimation of the Direction of Arrival of an Unmanned Aerial Vehicle Based on Frequency Tracking in the Time-Frequency Plane

Itare

Thomas

Raoof

et al. 2022

Sensors

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The development of unmanned aerial vehicles (UAVs) opens up a lot of opportunities but also brings some threats. Dealing with these threats is not easy and requires some good techniques. Knowing the location of the threat is essential to deal with an UAV that is displaying disturbing behavior. Many methods exist but can be very limited due to the size of UAVs or due to technological improvements over the years. However, the noise produced by the UAVs is still predominant, so it gives a good opening for the development of acoustic methods. The method presented here takes advantage of a microphone array with a processing based on time domain Delay and Sum Beamforming. In order to obtain a better signal to noise ratio, the UAV’s acoustic signature is taken into account in the processing by using a time-frequency representation of the beamformer’s output. Then, only the content related to this signature is considered to calculate the energy in one direction. This method enables to have a good robustness to noise and to localize an UAV with a poor spectral content or to separate two UAVs with different spectral contents. Simulation results and those of a real flight experiment are reported.

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Section: Introductionmentioning

confidence: 99%