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Published on: August 27, 2021
Frequency band analysis and comparison of localisation techniques for drones using microphone array measurements
Anique Altena1, Mirjam Snellen1, Salil Luesutthiviboon1
1Faculty of Aerospace Engineering, Delft University of Technology, Delft, 2629HS, The Netherlands.
Abstract:
This study covers three aspects of acoustic localisation of drones using a microphone array. First, it assesses a grid-free approach, using differential evolution, to estimate the three-dimensional position of a drone. It is found that this is indeed possible for the drone in the near-field. For larger distances, it still provides the angular position of the drone. Second, the study emphasizes the essence of localisation over small frequency bands with the bands jointly spanning a large frequency range to reveal the presence of multiple sound sources and maximise the drone localisation range. Third, it addresses the localisation ranges for six different drones.
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