With the evolution of drone technology, its range of applications has expanded to include logistics, surveillance, inspection, agriculture, and other indoor applications. However, improving drone control accuracy has become a major challenge, and accurate knowledge of propeller rotation speed is essential to solving this problem.
In this study, we propose a method for estimating propeller rotation speed using Wi-Fi Channel State Information (CSI). This method has the advantage that it does not require any additional hardware because it utilizes the Wi-Fi equipment installed in the drone.
The proposed method applies a Fast Fourier Transform (FFT) to CSI amplitude data to perform frequency analysis and peak detection. To cope with the non-uniform observation intervals of CSI, a resampling process is introduced to improve the estimation accuracy.
In the future, we plan to evaluate the system on actual drones to achieve fast RPM estimation on the millisecond order.
WiFi CSI, Drone
Indoor Drone Propeller Speed Estimation Using Wi-Fi CSI
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