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Communication Dans Un Congrès Année : 2020

Tracking of an Unmanned Aerial Vehicle with few sensors using time-frequency representation

Résumé

The use of UAV (Unmanned Aerial Vehicle) is more and more increasing in many situations. It can be used for hobby, package deliveries, aerial photography, film making or surveillance. Detection and localization of UAV is necessary for example in sensitive areas. A lot of methods exist in litterature to do so. This study deals with a particular use of traditionnal Delay and Sum Beamforming (DSB) method. Previous studies have shown that the acoustic signature of some UAV has an harmonic structure and that it was thus interesting to filter the signal recorded by the sensors taking into account this structure. This filter enables to select the fundamental frequency and some harmonics and consequently increases the signal-to-noise ratio. The DSB algorithm is then computed on the filtered signal. This method shows good results but can be difficult to implement in real time. The aim of our study is to compare this method with an approach based on the representation of the signal in the time-frequency domain. The output time signal provided by DSB is indeed represented in the time-frequency plane using a short time Fourier transform. Then only desirable frequencies, for instance the fundamental and the first three harmonics, are selected. The next step consists in calculating the energy in a time interval for the corresponding frequency bins chosen. This method enables to avoid the filtering processing. It could be more efficient in terms of computational time and could be implemented in real time.
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Dates et versions

hal-03233765 , version 1 (26-05-2021)

Identifiants

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Nathan Itare, Torea Blanchard, Jean-Hugh Thomas, Kosai Raoof. Tracking of an Unmanned Aerial Vehicle with few sensors using time-frequency representation. Forum Acusticum, Dec 2020, Lyon, France. pp.3143-3147, ⟨10.48465/fa.2020.0965⟩. ⟨hal-03233765⟩
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