Study of drone self-noise estimation for low frequency noise measurement by multicopter drone

We are developing low-frequency noise measurement system with multi-copter type drone. The biggest obstacle to measurements is drone self-noise. Therefor the system records environment noise and propeller rotation timing signal and removes the self-noise from the recording offline. For a high cancellation performance, accurate self-noise estimation is very important to remove self-noise from recordings. Focusing on the reproducibility of the self-noise for each rotation, we proposed a method for estimating self-noise at arbitrary rotations during flight from prerecording self-noise data. When the proposed system was mounted on a toy drone and its self-noise cancellation performance was evaluated, high cancellation performance was obtained in the low frequency region. In the study, In this paper, we report a method and its evaluation for estimating the self-noise of the propeller 1 axis from the rotation signal of the propeller axis of the drone.