Frequency band analysis and comparison of localisation techniques for drones using microphone array measurements
Anique Altena (TU Delft - Aerospace Engineering)
Mirjam Snellen (TU Delft - Aerospace Engineering)
Salil Luesutthiviboon (TU Delft - Reflection & Lifestyle, TU Delft - Aerospace Engineering)
Guido de Croon (TU Delft - Aerospace Engineering)
Mark Voskuijl (Netherlands Defence Academy, TU Delft - Aerospace Engineering)
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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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