Nowadays, remotely piloted aerial vehicles, also called drones, are being used in a rapidly increasing extent. Compared to traditional aircraft, their small size, remote control, programmed flight, and vertical movement capabilities enable many new tasks to be accomplished. Thanks to their advantages, there is a rapid growth observed in the last decade in their prevalence and expanding areas of use. These tools are used both for civil, industrial and military purposes. With the rapid increase in their number, however, the noise load they generate increases as well. In my thesis, I deal with measuring, analyzing and determining the typical spectral characteristics of this noise. Measuring and detecting the radiated noise can also be used for detecting drones in the proximity of objects that need to be guarded.
First, I will present already available research concerning this topic. I am going to describe the essentials of their measurements, their purpose and the results they have achieved. I will draw conclusions based on these and describe the relevant parts, which I will use during my work. I will also provide information on the advantages and disadvantages we have in mind with respect to the measurement location and layout I have chosen. Next, the process of data flow and signal processing is described, whose essential parts are the process of evaluating the recovered data and the presentation of the applied preprocessing methods. Using figures, I present the measurement results in different configurations, and finally I draw the conclusions and give recommendations about the ways and conditions for performing further measurements.