DOA estimation of an Unmanned Aerial Vehicle with few sensors in the case of disturbing sources
Résumé
The increasing use of Unmanned Aerial Vehicles (UAVs) for several purposes can bring some concerns around sensitive sites. It is thus necessary to be able to locate drones when they become a threat. Thanks to many recent studies, the use of acoustical methods exploiting the sound emitted by UAVs enables to estimate the position or direction of the source. Sound produced by drones is still predominant and hence is a good way to compensate technological difficulties of other methods like optical, electromagnetic, or radar. Some sensitive sites could be situated around noisy environment where perturbing sources can be present. These perturbing sources can be produced by planes, cars, birds, etc. Experimental measurements have been conducted for this study to evaluate the performance of temporal beamforming coupling with the time-frequency representation of the focused signal. This enables us to take into account the UAV's acoustic signature. These measurements were carried out in an environment where some noise sources were present such as birds chirping and car passing. Beamforming with time-frequency representation has the advantage of providing a DOA estimation with only a few spectral contents considered, which can be particularly helpful in this kind of situations.
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