Master Theses - Details

Unmanned aerial vehicles are expected to be used increasingly in the future, for example for delivery services in urban environments. Current research at the institute aims to counteract the unwanted noise, which is an inherent by-product of any flight-capable multicopter drone, using established methods of digital signal processing.

This problem consists of several interdependent components that need to be carefully investigated. Individual subproblems can be formulated and solved successively, with the results of preliminary investigations being used in subsequent stages. The placement and type of reference sensors are crucial for accurately capturing the acoustic environment around the drone and subsequently identifying the underlying system. Likewise, the position and characteristics of the secondary loudspeakers are important for achieving noise reduction within a selected spatial sector.

Extensive measurement campaigns are necessary to analyze different configurations of sensors and secondary sources. In an initial measurement campaign, the quadcopter drones were fixed in a rigid fixture within our measurement room to ensure a repeatable experiment. Measurement accuracy can be further improved through additional measurements in an anechoic chamber, while the use of flying drones without a fixed mounting can provide a more realistic context. The filter design will initially be developed through simulation, allowing a wide range of methods to be tested and subsequently enabling the requirements for a real-world system to be defined.