Unmanned aerial systems (UAS), commonly referred to as “drones”, are employed for a wide range of applications, and their usage is likely to grow further in the future. Therefore, the problem of drone-noise pollution and annoyance to humans is becoming more relevant, especially in obtaining public acceptance of these machines. To address this issue, it is necessary to accurately characterize the aeroacoustic footprint of UAS in operative conditions since the radiated noise emissions strongly depend on the trajectories and maneuvers. However, current measurement techniques based on single microphones fail in achieving this objective because they cannot account for the varying distance between the drone and the receiver during the maneuvering, Doppler effect, and disturbances from sound reflections and spurious sources.