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Bachelor-Vortrag: Untersuchungen zu Lautsprecherkonfigurationen für mehrkanalige räumliche aktive Geräuschkompensation
William Shu
Donnerstag, 20. November 2025
14:00 Uhr
IKS 4G | hybrid
Unmanned Aerial Vehicles (UAVs), popularly known as drones, are becoming increasingly prevalent, with applications ranging from search and rescue to potential parcel delivery services. However, the noise they generate remains an obstacle to their wider adoption. Although passive noise mitigation methods have been developed, they cannot be considered practical solutions because they may affect flight performance.
Active Noise Control (ANC) offers a promising alternative by using secondary sources, such as loudspeakers, to interfere destructively with UAV noise and create an impression of silence. However, designing a UAV-mounted ANC system is challenging because the placement and operation of the secondary sources must be carefully considered to prevent interference with the vehicle’s flight and structural performance. This thesis investigates the optimal positioning of one or more loudspeakers to form a UAV-mounted loudspeaker array while accounting for real constraints such as spatial and power limitations.
Although existing spatial audio reproduction techniques, such as Sound Field Synthesis (SFS) and, in particular, Wave Field Synthesis (WFS), provide theoretical insights, they cannot be applied directly to UAV ANC. As an alternative, this thesis presents an optimization framework developed to determine the optimal positions of secondary sources. As part of this framework, a new metric called spatial selectivity was formulated. This metric quantifies how a configuration controls the Sound Pressure Field (SPF) in a specific region beneath the UAV, independently of the primary source model. Loudspeaker positions are then optimized to maximize spatial selectivity.
The investigated scenario consists of a free field in which the UAV is fixed in position and the secondary sources are modeled as monopoles. The positions of the secondary sources were optimized within a constrained region beneath the vehicle. Simulations were conducted using an open-source SFS toolbox at frequencies of 100 Hz and 200 Hz. Despite the implemented simplifications, the optimization framework provides a systematic approach to designing UAV-mounted loudspeaker arrays that is independent of the primary source model. This approach offers promising guidance for the practical implementation of ANC.
