Frequency band analysis and comparison of localisation techniques for drones using microphone array measurements
A. Altena (TU Delft - Operations & Environment)
M. Snellen (TU Delft - Control & Operations)
S. Luesutthiviboon (TU Delft - Reflection & Lifestyle, TU Delft - Operations & Environment)
G.C.H.E. de Croon (TU Delft - Control & Simulation)
M. Voskuijl (Netherlands Defence Academy, TU Delft - Flight Performance and Propulsion)
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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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